AI Engineer - Agentic AI

About the job

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.

Requirements

• Python
• AI Frameworks
• LLMs
• Cloud Environments

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• AI
• Data Science
• related field

Preferred Technologies

• Python
• AI Frameworks
• LLMs
• Cloud Environments