About the role
- 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.
- 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.
EducationBachelor's/Master's degree in Computer Science, Engineering, AI/ML, Data Science, or a related field.