Opportunity brief
Hexaware is hiring for the role of Gen AI Developer Associate!
Responsibilities of the Candidate:
- We are seeking a hands-on AI Engineer to build, and deploy agentic AI solutions, including tool-using LLM agents, autonomous workflows, and multi-agent systems.
- The candidate should have strong engineering fundamentals, practical experience with LLM-based development, and a solid understanding of integrating agents with enterprise systems via APIs, RAG pipelines, vector databases, orchestration frameworks, and the Model Context Protocol (MCP).
- Candidate will collaborate with AI Architect/s, Vertical teams, and domain experts to translate business problems into scalable, production-ready AI automations.
- The role involves implementing, and operating stateful, multi-agent systems using LangChain and LangGraph, fully integrated within the Azure AI and multi-cloud ecosystem under strict enterprise governance.
Requirements:
Agentic AI Frameworks & Platforms
- Experience with modern agentic and orchestration frameworks such as:
- LangChain, LangGraph, Microsoft Foundry
- Databricks AI/BI Genie, Mosaic AI Agent Framework
- Snowflake Cortex AI
- AWS Bedrock AgentCore
- Google Vertex AI Agent Builder, Google ADK
- Other comparable Agentic AI frameworks and services
Hands-on expertise in:
- MCP (Model Context Protocol), A2A (Agent-to-Agent) workflows, Swarm agent architecture pattern
- Vector Databases, Vector Search, Embeddings
- Long-Term & Short-Term Memory integration
- Tool Calling & Function Calling pipelines
- LLM integration, tuning, and orchestration
- Logging & tracing for agent actions
- Containerize and deploy solutions on cloud environments (Azure / AWS / GCP)
Good to have skills:
- Deep understanding of machine learning, deep learning, Agentic AI Architectures
- Knowledge of data governance, security, and compliance in cloud environments