Sr Agentic AI developer

Senior Agentic AI Engineer

Experience: 7–10 years

Location: Hyderabad / Ahmedabad

Employment Type: Full-time

Job Summary

We are looking for a Senior Agentic AI Engineer with strong hands-on experience in Generative AI, LLMs, AI agents, and enterprise AI solutions. The candidate will be responsible for designing and developing intelligent, autonomous AI agents that can reason, use tools, interact with enterprise systems, and execute multi-step workflows.

Key Responsibilities

• Design and develop Agentic AI solutions using LLMs, AI agents, and multi-agent architectures.
• Build AI agents capable of reasoning, planning, tool/function calling, and autonomous task execution.
• Develop RAG-based applications using enterprise data and knowledge bases.
• Work with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or equivalent.
• Integrate LLMs with enterprise APIs, databases, cloud services, and business applications.
• Implement prompt engineering, context management, memory, agent orchestration, and guardrails.
• Develop and optimize AI workflows using Python and modern AI/ML libraries.
• Work with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
• Implement evaluation, monitoring, observability, security, and governance for AI agents.
• Optimize solutions for latency, scalability, reliability, and cost.
• Collaborate with architects, data engineers, product teams, and business stakeholders to translate requirements into AI solutions.
• Mentor junior engineers and contribute to technical design and architecture decisions.

Required Skills

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong Python programming skills.
• Experience developing AI Agents / Agentic AI systems.
• Strong understanding of RAG, embeddings, vector search, prompt engineering, and function/tool calling.
• Experience with LangGraph/LangChain or similar agent frameworks.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or other LLM platforms.
• Good understanding of multi-agent systems and agent orchestration.
• Experience integrating AI applications with REST APIs, databases, enterprise applications, and cloud platforms.
• Knowledge of AWS/Azure/GCP and AI/ML deployment patterns.
• Experience with Docker, Kubernetes, CI/CD, and production deployment is preferred.
• Strong understanding of software engineering principles, API development, and scalable application architecture.

Education

Bachelor's/Master's degree in Computer Science, Engineering, AI/ML, Data Science, or a related field.