Langchain jobs

Wire GPT-40, Claude, and Gemini Pro into client products via LangChain and Llamalndex, the person who knows which model to reach for and when a smaller, cheaper one is actually the right call. Responsibilities • Design and build LLM-backed features using LangChain or Llamalndex • Evaluate and select between GPT-40, Claude, and Gemini Pro per use case and cost • Build retrieval-augmented generation (RAG) pipelines against client data • Own prompt versioning and evaluation so quality regressions get caught

...agent (or small group of agents) that can read incoming lead data, enrich it, score it, trigger personalised replies, assign tasks, and keep every CRM field perfectly up to date—no human copy-pasting, no delays. Scope of work • Map the current lead-to-CRM flow, highlight bottlenecks, and propose an automation architecture. • Build the agent(s) in a clean, documented codebase—Python, FastAPI, LangChain, or comparable tools are fine as long as they’re well-supported and easy to maintain. • Integrate with our existing CRM (HubSpot/Salesforce or similar) through its public APIs. • Add logging, error handling, and basic analytics so I can see volumes, success rates, and latency. • Commit everything to our private Git repo and suppl...

I want to guide a small group of absolute beginners all the way to the point where they can land an entry-level role in AI, machine learning and generative A...guidance on refining those projects for GitHub and technical interviews. • Ongoing Q&A support—Slack, Discord or similar—and lightweight progress checkpoints so nobody falls behind. • Suggestions for open-source contributions, Kaggle competitions or hackathons that fit naturally into the timeline. I’m flexible on tools as long as they are industry-relevant—TensorFlow, PyTorch, Hugging Face, LangChain, Google Colab or local GPU setups are all fine. Please outline how many weeks you’d need, the approximate hours of live contact, and what deliverables (slides, notebooks, code repo...

I have several ongoing initiatives that each require their own AI agent—some conversational, others focused on data extraction or decision support. I need someone who can take an idea, choose an appropriate framework (for example, Python with LangChain or Rasa for chat, TensorFlow or PyTorch for analysis-heavy tasks), and turn that into a production-ready microservice or packaged module. Typical flow • Review the project brief with me and translate objectives into agent capabilities • Propose the tech stack and model choice, clearly explaining trade-offs • Build, test, and fine-tune the agent, then expose it through a clean API or SDK • Hand over clear documentation and lightweight maintenance scripts (Docker or similar) Because each project differs...

...engineering * Embeddings and vector databases * Retrieval-Augmented Generation (RAG) * AI agents and agentic workflows * Working with AI APIs * Building practical Generative AI applications * Understanding model selection, limitations, security and responsible AI Where appropriate, I would like exposure to tools/platforms such as Python, Jupyter/Google Colab, GitHub, Hugging Face, OpenAI/Azure OpenAI, LangChain or similar frameworks, vector databases and low-code AI platforms. ### Hands-On Learning Practical learning is very important. I would like each stage to include exercises, assignments and mini-projects rather than training being primarily presentation-based. Ideally, we should build **2–3 portfolio-quality AI projects** that I can demonstrate to potential emplo...

I have a small in-house codebase that already runs a few large-language-model helpers, but I now need to expand it with three new agents: a Sales Assistant, an Email Agent, and a Document Management Agent. All three must plug into the same Python stack (LangChain, OpenAI API, vector store, webhook layer) and respect our existing coding patterns. Here is the core scope we will iterate on together: • Sales Assistant Agent – Lead generation from incoming data feeds and web sources – Follow-up communication that can draft, personalise, and schedule messages – Basic sales analytics so my team can see pipeline health at a glance • Email Agent – Automated responses that pick the right template and tone – Sorting and categoris...

...Store & Google Play deployment * Performance optimization ### 3. AI / AUTOMATION DEVELOPER We are particularly interested in developers experienced with modern AI applications. Required/Preferred: * Python * OpenAI/LLM APIs * AI agents * RAG * Vector databases * AI chatbots * Document/PDF processing * Workflow automation * n8n / Make / Zapier * API integrations * Webhooks * CRM integrations * LangChain/LangGraph or similar frameworks * Building production-ready AI applications rather than simple chatbot demos ### 4. FRONT-END DEVELOPER * React * * TypeScript * Tailwind CSS * Responsive web applications * API integration * SaaS dashboards * Admin panels * Figma-to-development * Clean and maintainable code ### 5. UI/UX DESIGNER * Figma * Web application design * Mobile...

...engineering * Embeddings and vector databases * Retrieval-Augmented Generation (RAG) * AI agents and agentic workflows * Working with AI APIs * Building practical Generative AI applications * Understanding model selection, limitations, security and responsible AI Where appropriate, I would like exposure to tools/platforms such as Python, Jupyter/Google Colab, GitHub, Hugging Face, OpenAI/Azure OpenAI, LangChain or similar frameworks, vector databases and low-code AI platforms. ### Hands-On Learning Practical learning is very important. I would like each stage to include exercises, assignments and mini-projects rather than training being primarily presentation-based. Ideally, we should build **2–3 portfolio-quality AI projects** that I can demonstrate to potential emplo...

...work is minimal, but clean JSON in/out documentation is essential. You are free to leverage large-language-model APIs (e.g. GPT-4, Claude-3) or an open-source LLM fine-tuned with domain data, as long as you clearly state the stack. Python is preferred for orchestration, but I’m open to alternatives if there’s a compelling speed or cost advantage. Please factor in common NLP libraries—spaCy, LangChain, Hugging Face—and modern vector databases for retrieval-augmented generation if necessary. Turnaround is urgent; I need a functional MVP ASAP. A short demo video or live link that shows “data in, report out” will serve as acceptance criteria, accompanied by a concise setup guide so I can reproduce results locally or in the cloud. Once the ...

...technical path, and keep the future development team moving efficiently. Here’s what I’d like from you: • Clarify requirements and translate my rough concept into a concise functional spec. • Recommend the optimal tech stack and hosting setup, weighing options such as React, , Django, Node, or others you feel suit an AI-heavy site. • Identify and compare suitable AI components—OpenAI, LangChain, vector databases, analytics, or custom models—so the platform can grow without heavy rewrites. • Sketch high-level wireframes that capture core user flows around discovering and using the tools. • Lay out a realistic timeline with clear milestones and quality gates. By the end of the engagement I expect a written spec, architectu...

...Prompt engineering and orchestration patterns • Vector databases (e.g., Pinecone, Redis, Azure AI Search) • CI/CD and DevOps practices Preferred Qualifications • Experience transitioning traditional IVR or chatbot systems to AI-driven agentic architectures • Experience with speech technologies (ASR, TTS, voice streaming frameworks) • Familiarity with agent frameworks such as Semantic Kernel, LangChain, or similar • Experience implementing RAG pipelines and knowledge grounding • Exposure to Salesforce ecosystem tools, including Salesforce Agentforce • Experience designing automation for high-volume, customer-facing interactions Key Skills • Agentic AI design (planning, tool usage, memory, orchestration) • Voice and chat...

...application that delivers AI-driven recommendations to end users. The heart of the project is a performant micro-service written in Python/FastAPI that calls LLM chains (LangChain or LangGraph) and returns results to a React web client backed by PostgreSQL. Performance is my top architectural priority, so every layer—from data model to API to front-end rendering—must be tuned for speed and low latency. Here’s the technology mix the codebase already leans on, so you’ll need to be fluent in all of it: • Python 3.x with FastAPI • React (modern hooks, TypeScript a plus) • PostgreSQL (schema design, query optimisation) • LangChain or LangGraph for LLM orchestration • AWS or Azure for deployment, monitoring and CI/CD...

Claude will be the backbone of a new natural-language-processing system that I’m putting in place for my product. The initial scope centres on three capabilities: reliable text classifi...scripts that show the system responding to fresh inputs. • A concise deployment guide so my internal developers can reproduce the environment on AWS or GCP. Acceptance criteria: every model should reach at least 85 % macro-F1 on our hold-out set, and the chatbot must answer at least 8 of 10 predefined queries correctly during a live test. If you have recent experience with Claude’s SDK, LangChain, or similar orchestration tools, this will move fast. Feel free to suggest additional metrics or workflow improvements—clarity, reproducibility, and clean code matter more to...

...AI Voice Agent prototype built with Claude, n8n AI automation, LangChain, and LangGraph. I need an experienced AI developer to review my existing video-coded project, fix the current issues, complete the missing parts, and turn it into a working real product. Task -Review and understand the existing project - Fix current bugs/issues - Complete unfinished functionality - Improve the AI agent/workflows - Integrate everything properly - Make the system stable and production-ready I also need the developer to act as an AI Consultant / Strategic Integrator — not just follow my existing code. You should be able to recommend better architecture, integrations, and approaches when needed. Must Have - Claude / Anthropic - LangChain / LangGraph - n8n - AI agents / LLM work...

...produce high-quality AI-generated images that match brand style guidelines. I value clear communication, meticulous attention to detail, and proactive progress updates; a flexible schedule is fine as long as we agree on milestones and you meet them. Please tell me about similar projects you have handled, the tools or frameworks you prefer (e.g., Python, OpenAI API, Midjourney, Stable Diffusion, LangChain, Make/Zapier, or any others you excel in), and share links or files that demonstrate the results you achieved. The stronger the proof of your past success, the easier it will be for me to move forward quickly. Deliverables (at minimum): • An end-to-end automation or workflow that materially reduces manual effort. • A prompt library or prompt template set with ...

...times. How I will tackle your three core tasks: OCR Pipeline: I will set up a robust extraction workflow (leveraging tools like PaddleOCR or Tesseract) that cleans scanned PDFs, preserves exact page references, and stores both raw text and bounding-box coordinates for precise highlighting. Knowledge Graph & RAG: I will design a structured semantic retrieval system using modern stacks (such as LangChain/LlamaIndex combined with vector stores or graph databases like Neo4j/pgvector) to extract clauses, obligations, parties, and timelines accurately. DigitalOcean Deployment & DevOps: I will containerize the application and set up repeatable Terraform/Bash scripts for seamless deployment inside a private DigitalOcean VPC, exposing a clean REST/GraphQL endpoint for your fro...

...– Content Strategy – Analytics • Continuous learning: once content is published, the system should collect performance data, feed it back to the relevant agents, and automatically refine copy, creative, posting cadence, and channel mix to maximise reach, engagement, and growth over time. • Tech stack: you’re free to assemble the right blend of LLMs, vector stores, orchestration tools (LangChain, AutoGen, etc.) and third-party APIs, so long as the end product scales and remains modular. Deliverable A runnable, documented codebase plus a short video walkthrough showing the agents in action—from an initial strategy briefing to live content deployment and post-campaign analysis. I’ll consider the project complete when the agents can ...

I have a collection of...to tweak tone, depth, or length later without changing the codebase. • Output in an editable format—DOCX or Markdown preferred—so I can make quick last-minute adjustments. • Clear documentation and a brief video or README showing how to install, set environment variables (API keys, model choice), and run the tool. Please leverage whichever stack feels natural—Python with PyPDF2 or java+ LangChain + OpenAI API is fine, but I’m open to alternatives such as Node, JavaScript, or even a low-code setup if it stays fully automated. Acceptance criteria: I’ll supply a sample PDF; your solution should rewrite it in one pass, retain structure, and run locally on macOS without errors. If there’s anything you need clar...

...WhatsApp messaging, transactional and drip email sequences, plus a visual sales-pipeline engine that can be tweaked from an admin dashboard. Tech stack is flexible, but I usually lean toward React (or Flutter) + Node/Express or Django for APIs, PostgreSQL or MongoDB for data, and Twilio/WhatsApp Business APIs for messaging. If you have a better way to make the AI component sing—TensorFlow, OpenAI, LangChain—I’m open. Just explain why. Deliverables 1. Production-ready web app deployed to a cloud host of your choice. 2. iOS & Android builds published to TestFlight / internal track. 3. Integrated CRM with basic data migrated from a CSV I’ll provide. 4. End-to-end automation workflows tested and documented. 5. Admin guide and annotated source cod...

...setup/runtime errors if required. Deploy the Agentic AI application on a server. Make sure the application is running properly and demonstrate the working system to us. Provide basic documentation for running and deploying the project. Expected Skills Strong experience with Python Good knowledge of JavaScript/Node.js Experience with Agentic AI / AI Agents Experience with frameworks such as LangGraph, LangChain, OpenAI API, or similar is preferred. Experience with REST APIs and third-party AI APIs. Experience deploying applications on Linux servers/cloud VPS. Git/GitHub knowledge. Ability to troubleshoot existing AI-generated code and resolve dependency/runtime issues. Important This is not primarily a development-from-scratch project. The Agentic AI code has already been created...

I am undertaking a full-scale build of an AI-driven music creation platfo...setup on a new cloud account in <2 h. 5. A short demo playlist showcases each major capability. Timeline & collaboration There is no fixed deadline; quality and completeness outweigh speed. Show me examples of previous AI music or audio-generation work—ideally a live link or working demo—so I can gauge how quickly we can move into production. Tech flexibility is fine—whether you prefer LangChain, Triton, Python, Node, Go, TensorFlow, PyTorch, or proprietary DSP tools—just outline the reasoning behind your stack and how it supports future scale. If you have shipped anything similar, I’d love to hear the details and dive straight into discussion on model choices, lat...

...the WebSocket stream so that research synthesis appears live in the frontend panels. Biomedical Reflection: Refine the "Reflection Agent" (currently using a fine-tuned biomedical Llama model) to perform a secondary quality check on the literature review output. Technical Stack: Backend: Deno v2 (TypeScript), WebSockets. Frontend: React, Vite, Tailwind CSS, Framer Motion. AI Logic: LangGraph, LangChain. Models: Groq (Llama 3.3 70B Orchestrator) & Local Ollama (Biomedical fine-tuned SLM). What’s Already Done: ✅ Stable Multi-agent state graph and orchestration logic. ✅ Professional, responsive dashboard with glassmorphism effects. ✅ Backend/Frontend communication via WebSockets. I am looking for a developer who understands medical data sensitivity and has deep ex...

...underlying documents change and automatically refresh the index so responses never go stale. • Expose an easy-to-embed web chat UI plus a simple REST/GraphQL endpoint so other apps can tap into the same knowledge base. • Include deployment scripts (Docker or similar) so the stack can be spun up quickly on our cloud account. Key technical notes Python is preferred; popular RAG toolkits such as LangChain, LlamaIndex or Haystack are welcome as long as the code remains modular and well-commented. ElasticSearch, Pinecone or another vector store may be used for embeddings. The language model can be OpenAI, Anthropic or an open-source alternative—just document any API keys or weights required. Acceptance criteria 1. Ask-answer cycle under three seconds for a st...

...management, enforcing solid financial control, and keeping my inbox under control. The most urgent pressure is on the business and finance side, so accurate numbers and smart insights have to come first, but the same system should also clear, sort, and respond to email with minimal oversight from me. Your job is to map my current workflows, suggest (or build) the right stack—whether that’s OpenAI, LangChain, custom Python pipelines, Zapier integrations, or another toolset—and then deliver an integrated assistant able to: • Maintain rolling budgets and forecasts, updating them automatically as new data arrives • Track expenses in real time, spot variances, and feed reliable numbers straight into my books • Generate clear monthly and ad-hoc...

...tighten the instructions so the model only returns evidence-based facts. Template alignment is the area that clearly needs the most love, yet the retrieval and synthesis rules also deserve a second look to be sure we are not hard-coding project-specific values. Any field the sources can’t support should stay blank; no educated guesses, no filler. Tooling is flexible—our current stack is Python, LangChain and OpenAI models feeding a vector store—so if you have a sharper idea for prompt structure or retrieval filters, run with it. What matters is that the final YAML delivers: • Accurate data pulled verbatim from the source documents • No hallucinations, misinterpretations or duplicate/irrelevant table entries • A clean hand-off YAML file pl...

...What the day-to-day looks like • Place targeted cold calls from our vetted lead lists, following an opening script you’ll help refine. • Listen, probe for pain points, and book discovery meetings for our solutions architects. • Keep concise notes in HubSpot so the rest of the team has instant context. Support you receive – Full product and industry training (our stack spans OpenAI, LangChain, Zapier, Make, and custom Python microservices). – Battle-tested talk tracks, objection-handling guides, and live call coaching. – Weekly pipeline reviews, so you always know quota and next steps. What I’m looking for • Proven confidence on the phone—if you thrive on the adrenaline of the first thirty seconds, you&rsquo...

...configuration * Domain, SSL, monitoring, logging, backups, and security * Performance and scalability optimization Preferred Technology Stack Experience with the following technologies is highly preferred: Frontend: React.js, , TypeScript Mobile: Flutter, React Native Backend: Node.js, Python, FastAPI Database: PostgreSQL, MySQL, MongoDB, Supabase, Firebase AI: OpenAI, LLMs, AI Agents, RAG, LangChain, Vector Databases, Embeddings Cloud & DevOps: AWS, Azure, Google Cloud, Docker, Kubernetes, CI/CD Other: REST APIs, GraphQL, Git, GitHub, Payment APIs, Third-Party API Integrations Equivalent technologies are also welcome if you can demonstrate strong experience. Ideal Candidate We are looking for a Full Stack Developer, SaaS Developer, AI Developer, Mobile App Developer, o...

...suggest or create content pieces in line with our brand voice. • Customer-support and call-centre agents able to field live chat or voice interactions, escalate issues when needed, and keep ticket data tidy. • Operational and accounting agents to automate routine reconciliation, reporting, and internal task routing. Tech stack is flexible as long as it is production-ready—OpenAI / GPT-4, LangChain, AutoGPT, Rasa, Zapier, custom Python micro-services, or anything comparable that achieves autonomous, API-driven workflows. Security, data-privacy best practice, and maintainability must be baked in. Deliverables 1. Architecture blueprint mapping every agent to its data sources, APIs, and performance KPIs. 2. Proof-of-concept agents for each department, demoed...

...deploy one or more autonomous bots that plug into our existing funnel assets (landing pages, CRM, email platform, analytics). • Each bot should decide next actions on its own, trigger downstream tasks, and log outcomes for easy audit. • All workflow logic must be easy for a non-developer to tweak later. • Preferred stack: Python, Node.js or similar; open-source LLM orchestration layers (LangChain, LlamaIndex, AutoGen, etc.) are welcome as long as the final solution is containerised and version-controlled. Acceptance criteria 1. A working demo that I can test end-to-end in my sandbox CRM. 2. Clean, commented code pushed to a private repo. 3. A short Loom walk-through explaining configuration options. 4. Documentation that lists any third-party APIs an...

...supporting semantic search and hybrid retrieval (BM25 + embeddings) for improved accuracy. Alternatives such as Pinecone or pgvector may be evaluated depending on scalability and operational needs. The agentic workflow layer will support tool/function calling, retrieval workflows, prompt orchestration, content validation, and human-in-the-loop review processes using frameworks such as LangGraph, LangChain, and LlamaIndex. The platform will expose secure REST APIs with OAuth2/OIDC and JWT-based authentication, along with API rate limiting and enterprise security controls. Deployment will be containerized using Docker and orchestrated through Azure Kubernetes Service (AKS) with infrastructure managed through Terraform or Bicep. The evaluation framework will include automated and...

I have an in-progress system that should automatically produce “certain AI-generated content,” primarily long-form assets such as ebooks with scope to expand into articles and blog posts...calls the OpenAI API • A loose content outline generator • Placeholder storage for draft files What still needs doing: 1. Integrate Anthropic Claude alongside GPT models, letting me switch or blend them through a simple config. Create certain content Python is preferred for the core logic, but I’m open to Node.js if you already have reusable modules. Feel free to recommend libraries—LangChain, LlamaIndex, or your own lightweight wrappers—so long as they keep dependencies lean. If you can deliver a tidy, documented AI content pipeline that meets t...

...Risk Agent * CAPA/NCR Agent * Audit Agent * Executive Intelligence Agent Agents should securely call application APIs/tools to retrieve real-time data. ## Recommended Architecture The AI layer should be implemented as an **independent AI service/microservice** connected to the existing application through secure APIs. Preferred technologies: * Python * FastAPI * OpenAI API * LangGraph / LangChain * Qdrant / Pinecone * Redis * PostgreSQL or existing database integration * Docker The architecture must allow future replacement of AI models/providers without rebuilding the entire system. ## Security Required: * Strict multi-tenant isolation * Role-based access control * Secure API authentication * Audit logging * Data protection * No cross-organization data exposure * Human ...

...slips. • Provide a clear audit trail and dashboard so my team can intervene or override decisions in real time. Tech & integration landscape The agent will plug into our current stack (CRM, email service and project-management platform) through REST/GraphQL or native SDKs; the exact tooling will be shared once we start, so an adaptive architecture is essential. If you have experience with LangChain, AutoGPT, RAG pipelines, vector databases or similar orchestration frameworks, highlight it. Deliverables 1. Fully functioning AI agent deployed to our cloud environment 2. Source code with clean documentation and setup scripts 3. Integration guide covering authentication keys, webhooks and fallback procedures 4. Short Loom or Zoom walk-through for my team Accep...

...Provide a simple web interface or API endpoint so the bot can be embedded later in my site or app. Key considerations – Accuracy is critical; I want the bot to return verifiable answers, not guesses. – Latency should stay comfortably below a few seconds per query. – The solution must respect and any site usage policies. – Preferred tech stack is Python with libraries such as LangChain, FastAPI, or similar, but I’m open to what you do best. Deliverables 1. Source code with clear docstrings and in-line comments. 2. Setup guide and (or equivalent) so I can run it locally. 3. Short video or written walkthrough demonstrating the chatbot answering sample questions. 4. Optional: suggestions for scaling the scraper and adding more sit...

...integrating OpenAI, Claude, Gemini, or similar AI models. * Experience building AI-powered applications, chatbots, AI agents, RAG, or AI workflows. * Mobile development experience with Flutter or native iOS (Swift) and Android (Kotlin) is a plus. * Must have published at least one production app on both the Apple App Store and Google Play Store. ## Additional Skills (Good to Have) * Experience with LangChain, LangGraph, CrewAI, AutoGen, MCP, or Vercel AI SDK. * Experience with Vector Databases such as Pinecone, Qdrant, Weaviate, or Supabase Vector. * Experience with Docker, AWS, Google Cloud, or Azure. * Experience with Firebase or Supabase. * Experience integrating Stripe, Razorpay, or other payment gateways. * Experience with AI automation tools such as n8n, , or Zapier. * AI...

...features: Upload any PDF (contracts, reports, research papers, manuals, etc.) Ask questions in natural language and get instant, accurate answers Semantic search using vector embeddings — finds relevant info even if exact keywords don't match Reduces hallucinations by grounding responses in the actual document Scalable architecture — can handle single files or large document libraries Tech stack: LangChain / LlamaIndex • OpenAI / Claude API • Vector Database (Pinecone / ChromaDB / FAISS) • Python • [Streamlit / React frontend] Use cases: Perfect for legal document review, customer support knowledge bases, research assistants, internal company wikis, or any business drowning in PDFs that needs fast, reliable answers. I can customize this so...

...availability, travel time, and job duration, then present the customer with the earliest realistic slot. • Confirmations, reminders, and any last-minute changes are sent automatically in plain language. • A central dashboard shows the current schedule, flagged conflicts, and suggested optimizations. The stack is flexible, but I expect you’ll lean on familiar orchestration frameworks such as LangChain or CrewAI, tie in a large-language model (OpenAI, Claude, or similar), and connect to Google Calendar or comparable scheduling APIs. If you have a preferred routing or dispatch tool already in mind, I’m happy to evaluate it. There’s no hard deadline; quality and reliability outweigh pure speed. I’m looking for a working proof of concept fir...

...turning my computer into a true personal assistant. The idea is to install and configure a locally running virtual-assistant desktop application that listens to whatever command I give it—whether that is “set up a meeting for Thursday,” “draft a reply to this email,” or “find and move last month’s invoices into a new folder.” We can build on any solid stack you’re comfortable with: Python, LangChain, Node, Electron, Auto-GPT, or another framework, as long as everything ends up running on my own machine with my keys and data. The assistant should launch like any other desktop app, accept voice or typed input, and return results or carry out the requested action without me opening a terminal window. Deliverables • Ful...

...support material On the automation side it should: • Draft or send email replies that reflect current policy and stock status • Accept or transfer incoming phone calls with natural voice prompts • Generate and place straightforward orders in our back-office system I imagine a retrieval-augmented approach (vector store + LLM such as GPT-4), wrapped in an orchestration framework like LangChain or similar, with hooks into our email, telephony, and ordering APIs. You are free to propose the exact stack as long as it is well documented and cost-conscious. Deliverables 1. Ingestion pipeline that continuously indexes our documents and updates embeddings 2. Conversational interface (web or Slack) for internal testing that demonstrates accurate answers fr...

...range or past inquiry without feeling templated. Here is how I picture the workflow: the system pulls fresh contacts from public listings, social media bios or purchased databases, scores them against criteria I define, writes the first outreach email, schedules follow-ups, then pushes every interaction into my CRM so I can step in when a prospect replies. I’m open to the stack—Python, GPT-4, LangChain, Zapier, HubSpot API, however you prefer—as long as it is maintainable and I can tweak prompts, scoring thresholds and sending cadence through a simple dashboard or config file. Deliverables • An end-to-end script or micro-service that mines and scores new leads • Email generation logic with variable fields for name, neighborhood and intent (moderate...

...range or past inquiry without feeling templated. Here is how I picture the workflow: the system pulls fresh contacts from public listings, social media bios or purchased databases, scores them against criteria I define, writes the first outreach email, schedules follow-ups, then pushes every interaction into my CRM so I can step in when a prospect replies. I’m open to the stack—Python, GPT-4, LangChain, Zapier, HubSpot API, however you prefer—as long as it is maintainable and I can tweak prompts, scoring thresholds and sending cadence through a simple dashboard or config file. Deliverables • An end-to-end script or micro-service that mines and scores new leads • Email generation logic with variable fields for name, neighborhood and intent (moderate...

...Gateway * WhatsApp Business API * CRM Integration * Calendar Integration * Digital Signature * Cloud Storage * Google Maps API (Optional) Technology Stack (Preferred) Frontend - React.js / Backend - .NET Core / Node.js / Python Mobile (Optional) - Flutter / React Native Database - PostgreSQL / MySQL Cloud - Microsoft Azure / AWS / Google Cloud AI Technologies * OpenAI GPT * LangChain * RAG (Retrieval-Augmented Generation) * Vector Database (Pinecone, Weaviate, Chroma, or similar) * OCR (Azure AI Document Intelligence, AWS Textract, or Google Vision AI) * Machine Learning Models for Lead Scoring & Fraud Detection Security Requirements * Multi-Factor Authentication (MFA) * Role-Based Access Control (RBAC) * Data Encryption (At Rest & In Transit) * Secure API Au...

...personal account solutions like Baileys due to account ban risk) - Reuse the same RAG knowledge base as the web bot - Support context retention, smooth handover to human agent What we expect from you in your bid: 1. Attach links to your previous finished chatbot projects / portfolio demos. Lab experiments without live deployment are not preferred. 2. Briefly introduce your technical stack (Python, LangChain/LlamaIndex, vector database, LLM provider etc.) 3. Explain your architecture plan for both web widget and WhatsApp channel. 4. State your delivery timeline and total fixed-price quotation. Required Skills: Python, Generative AI, RAG, Chatbot Development, LLM API Integration, FastAPI, JavaScript, WhatsApp API, WordPress embedding Budget Range: $500 – 800 USD Project du...

...and is interested in building a robust research assistant. I am not a researcher, a software engineer or even involved in the industry. This entire project is to help my dad who was recently diagnosed with this disease and I need more power in my searches. I am told by my own ChatGPT research that "this would involve a Python stack and leverage current NLP/LLM tooling (e.g., transformers, LangChain, GPT-4, spaCy), PDF parsing utilities, and APIs such as PubMed, CrossRef, , and YouTube Data API. A vector store (Pinecone, FAISS, or similar) for semantic search plus a lightweight web dashboard or Streamlit front end will keep things user-friendly." Deliverables • Crawling & ingestion pipeline covering all stated sources • Information-extraction module...

... The AI functionality is already implemented, but it has recently become unreliable. Some requests fail, generated responses are inconsistent, and API/model errors are not handled correctly. We need an experienced Python/AI developer to review the existing integration and fix the current issues. The work includes reviewing the existing FastAPI endpoints and AI service, debugging the OpenAI/LangChain integration, correcting model response parsing and prompt handling, improving validation and exception handling, and ensuring API credentials/configuration are managed securely through environment variables. The existing CRM frontend, database structure, customer records, and normal CRM functionality should remain unchanged. The implementation should also keep the AI provider laye...

We are seeking experienced AI Agent Developers to build and deploy intelligent AI-powered applications using...workflows, integrating external tools and APIs, creating Retrieval-Augmented Generation (RAG) pipelines, and developing Python-based applications using frameworks such as FastAPI. Candidates should have a strong understanding of LLM capabilities and practical experience turning AI concepts into production-ready solutions. Experienced candidates should have expertise in advanced AI systems using LangChain, LangGraph, MCP, vector databases, tool calling, memory systems, and multi-agent orchestration. The ideal candidate should be able to architect enterprise AI platforms, optimize AI workflows, establish AI governance practices, and integrate AI agents with complex busines...

...chatbot for our e-commerce store. The backend must be built in Python (FastAPI), but it must be built with external integrations in mind allowing no-code automation platforms (like , n8n, or Zapier) to trigger it and consume its outputs. Key Responsibilities: - Conversational AI & NLP: Build a natural, accurate conversational chatbot in Python using modern LLM frameworks (OpenAI API, LangChain, or similar). - E-Commerce Utility: Integrate store product data (via CSV/API) to answer customer queries about product specs, pricing, and live availability. - Support Automation: Handle order tracking/status lookups and standard e-commerce FAQs (shipping, returns, policies). - API & No-Code Gateway: Deploy a clean FastAPI endpoint that acts as a bridge. It must easily accep...

We need a skilled technical writer to produce a single, well-researched article comparing SkillOpt, GEPA, and DSPy — three frameworks relevant to AI agent skill optimization and prompt programming. This is a paid trial engagement with potential for ongoing work. The article must match a specific first-person operator v...hourly at 3–5 hours per article depending on complexity. Draft-only — no publishing access required. About the project: This is a technically sophisticated personal blog covering AI workflows, FP&A, and operator-level tooling. The audience is technical and expects depth, precision, and honest analysis. Upcoming topics include recursive self-improvement with AI, intelligent model routing, and LangChain/LangFuse tracing — strong candidate...

...sciences Hyderabad based. The core objective is to ingest complex, multi-page regulatory documents (PDFs with dense tables, scanned text, and structured metadata), run automated gap analysis against reference standards, and generate precise, audit-trailed responses with exact page-level citations. Scope • Architect an end-to-end, production-ready RAG workflow in Python (LangChain or similar) that integrates an LLM of your choice with an efficient vector store. • Build the parsing layer able to handle varied layouts, feed the cleaned content into the embedding store, and expose clear APIs for downstream use. • Create an autonomous agent that answers user questions, routes tasks, and continuously improves via feedback loops. • Optimise for low latenc...

...downstream reasoning models. Here is what I need from you: • Build a Python-based pipeline that ingests raw tender files, cleans them, splits them into semantically coherent chunks, and extracts the structured information I specify. • The solution has to cope with long documents (100+ pages), mixed layouts, and occasional OCR noise. • Please rely on modern LLM tooling—HuggingFace Transformers, LangChain or LlamaIndex for chunk orchestration, plus a vector store of your choice if it helps internal look-ups. • Deliver clean, well-documented code, a small demo dataset, and a README showing how to run everything locally or in a cloud notebook. To keep the bidding process focused, just point me to past work that proves you have already built or sig...