- Mumbai, Maharashtra, India
- On-site
- Full-time · Mid
- 2–6 years
The Agentic AI Builder designs, builds and industrialises AI agents and multi-agent workflows for Sia's enterprise clients, and helps users adopt them. You will turn real business processes into agents that perform reliably in production.
Responsibilities
- Work with consultants and business teams to identify agent use cases and translate business processes into clear agent requirements and acceptance criteria.
- Design agent architectures for business workflows, deciding when a single agent, a multi-agent pattern or a deterministic workflow with LLM steps is the right choice.
- Implement orchestration, tool calling and control flow in Python using frameworks such as LangGraph, LangChain, the Claude Agent SDK or OpenAI SDK, or custom code where that is the better choice.
- Build tools and connectors to enterprise APIs and data sources, including MCP servers, with clear schemas, error handling and permissioning.
- Engineer context deliberately: retrieval over enterprise data, prompt and context design, and state and memory management across steps and sessions.
Requirements
- Bachelor's degree in Computer Science, Engineering or a related field
- Master's degree in Computer Science, Engineering or a related field
- Nice to have: Model Context Protocol (MCP)
- Nice to have: Multi-agent patterns (planner, executor, supervisor, handoff)
- Nice to have: n8n