✅ Job Title: AI Engineer – LangChain & Python Developer

📍 Location: Remote or [Your Location]

📅 Experience: Minimum 4+ Years

🧠 Domain: GenAI / LLM / LangChain

💼 Type: Full-Time / Contract

💰 Salary: Competitive – Based on Experience

🚀 About Us

We are building the next generation of AI-powered applications and looking for a passionate LangChain + Python Developer to join our growing team. This role is perfect for someone who has already built projects using OpenAI, LangChain, vector databases like Pinecone or FAISS, and who enjoys creating prompt-driven workflows and agents that solve real-world problems.

🎯 Your Responsibilities

Design, build, and optimize LangChain-based applications using tools, agents, and memory

Implement prompt chains, tool calling, and agent workflows using OpenAI (GPT-4+)

Develop RAG pipelines using vector DBs like Pinecone or FAISS

Orchestrate APIs for tools like Cohere, HuggingFace, ElevenLabs, and Whisper

Create dynamic pipelines that interface with PDFs, files, websites, and real-time APIs

Develop Python microservices (Flask / FastAPI) to support LLM workflows

Manage embedding generation, caching, and token optimization

Work on voice input/output, structured output parsing, and chat interfaces

Maintain clean, reusable code and document your AI workflows clearly

Collaborate with product, design, and engineering teams to ship features fast

✅ Must-Have Qualifications

4+ years of Python development experience

Strong experience with LangChain (chains, agents, tools, memory, retrievers)

Deep understanding of LLMs like OpenAI GPT-4, prompt tuning, embeddings

Proficient in working with Pinecone, FAISS, or other vector databases

Experience integrating multiple APIs (REST, GraphQL) into LLM pipelines

Comfortable building tools like PDF QA, website summarizers, voice bots, etc.

Exposure to voice AI (e.g., Whisper, ElevenLabs) is a strong plus

Familiarity with RAG, token limits, cost optimization, caching logic

Git, Docker, and cloud deployment experience (AWS, GCP, or Azure)

🌟 Bonus Skills (Not Mandatory)

LangGraph or LlamaIndex experience

Frontend familiarity with Streamlit, Gradio, or React

Experience deploying GenAI apps into production

Experience working with multi-agent LLM setups

Knowledge of multi-modal AI (voice, vision, text)

🧑‍💻 What a Great Candidate Looks Like

You’ve built LangChain apps, created custom agents, connected external APIs, handled memory and vector search, and optimized prompts for results — exactly like our last successful hire! You think modularly, ship fast, and write Python that’s clean, reusable, and scalable.

📌 Sample Projects We’re Working On:

AI Chat Assistants using API + PDF + Memory

Voice-enabled LLM assistants (Whisper + ElevenLabs)

RAG-based knowledge bots

Internal AI tooling with OpenAI & LangChain.