Job Title

Work Experience (Mumbai/Pune/Gurgaon) - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. - 4+ years of experience in AI/ML or software development with hands-on exposure to LLMs. - Strong proficiency in Python and experience with AI frameworks such as Agentic, LangChain, LlamaIndex, AutoGen, or CrewAI. - Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and vector databases (Pinecone, Chroma, FAISS). - Knowledge of agent orchestration, prompt engineering, and context memory management. - Familiarity with cloud environments (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Responsibilities Design and Develop AI Agents: Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.G., LangChain, CrewAI, AutoGen). Integrate APIs and Tools: Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution. Optimize Agent Performance: Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy. Develop End-to-End Pipelines: Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement. Collaborate with Cross-Functional Teams: Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systems