Description

You design and build agentic AI systems using large language models. You integrate these agents with enterprise systems, APIs, and knowledge sources to solve business problems.

This role is on-site.

Responsibilities

• Build multi-agent workflows with planning, memory, and tool usage capabilities.
• Implement RAG pipelines and optimize model performance through prompt engineering.
• Integrate REST APIs and microservices into agent workflows.
• Ensure scalability, security, and reliability of AI systems.
• Collaborate with business teams to translate use cases into technical solutions.

Required Skills

• 3 to 8 years of experience in software engineering or AI development.
• Strong programming skills in Python.
• Experience with LLM frameworks such as LangChain, Semantic Kernel, AutoGen, or CrewAI.
• Knowledge of vector databases including FAISS, Pinecone, or Azure AI Search.
• Familiarity with Azure AI or AWS AI services.
• Understanding of embeddings, fine-tuning, and microservices architecture.
• Bachelor's degree in a related field.

Preferred Skills

• Experience with multi-agent orchestration.
• Knowledge of GenAI governance and responsible AI.
• Frontend exposure with React or chat interfaces.

Key Skills

Education

Bachelor's degree