AI Developer (LangChain | CrewAI)

Do you want to work hands-on with LangChain, CrewAI, and real-world AI agents solving complex problems at scale? If you're ready to level up your career in the world of autonomous AI , If you are passionate about building the future of AI? W e want to hear from you. Title: AI Agent Developer - Python (LangChain + CrewAI) Location: Noida, Sec-62 (On-site) Initial Work Location: Patel Nagar, New Delhi (2–3 months) Experience Required: 3+ years Employment Type: Full-time 🚀 About the Role We’re looking for an experienced AI Agent Developer who thrives at the intersection of LLMs, agentic workflows, and autonomous systems . If you're excited by building intelligent, tool-using AI agents that interact, reason, and solve real-world problems — this is your place . You’ll work on cutting-edge GenAI products , leveraging CrewAI, LangChain , and vector databases to build high-performance agent frameworks and end-to-end RAG pipelines. 🧠 What You'll Do Architect and build modular, asynchronous Python applications following clean code principles. Define and orchestrate agents using CrewAI – set up tasks, memory, roles, and coordination logic. Develop custom chains and tools using LangChain (AgentExecutor, LLMChain, Memory, Structured Tools). Design advanced prompts using Few-Shot, ReAct, Chain-of-Thought techniques. Integrate with LLM APIs like OpenAI, Anthropic, Mistral, HuggingFace . Build scalable RAG pipelines using vector stores (FAISS, Chroma, Pinecone, etc.). Add tool-use capabilities: web scraping, API integration, PDF parsing , file management. Design memory systems for persistent, context-aware agent behavior. Optimize reasoning logic using DSA and algorithmic problem solving . Package and deploy your work using Docker, Git, Pipenv/Poetry . 🛠️ Required Skills Strong in Python 3.x – async, modular structure, type hinting. LangChain (LLMChain, AgentExecutor, Tools, Memory) – must-have. CrewAI / LangGraph / AutoGen – hands-on experience required. Prompt Engineering – ReAct, Few-Shot, Chain-of-Thought strategies. Integration with LLM APIs – OpenAI, HuggingFace, Anthropic, Mistral. Vector DBs – FAISS, Chroma, Pinecone, Weaviate. Building end-to-end RAG pipelines using LangChain + VectorDB. Agent Memory: BufferMemory, ConversationBufferMemory, VectorStoreMemory. Async programming with asyncio and LangChain hooks. Strong grasp of DSA/Algorithms to optimize agent behavior. 🌟 Bonus Skills Exposure to ML libraries : Scikit-learn, XGBoost, basic TensorFlow. Understanding of NLP foundations : embeddings, tokenization, similarity scoring. Familiarity with DevOps : Docker, GitHub Actions, Pipenv/Poetry. 🎯 Why Join Us? Work on real AI agents that execute autonomous reasoning. Collaborate with a fast-paced, highly motivated AI team building from scratch. Directly influence architecture, UX, and product impact. Stay ahead by building on top of CrewAI, LangChain, LLM APIs , and the latest vector DB tools. Opportunity to lead initiatives and ship innovative GenAI solutions. Show more Show less