AI Agent

Experience: 10+ Years (including ~2 years relevant agentic AI experience)

Location: Pune (In Office)

Skills required

Agent & sub agent architecture

o Ability to design multi agent systems with planners, workers, and specialized sub agents, including clear hand off protocols and failure handling.

o Around 2 years of relevant experience building and operating agentic workflows in real projects or products.

MCP servers and integrations

o Hands on experience designing and implementing MCP servers that expose internal APIs, databases, and workflows to agents in a secure and observable way.

o Practical knowledge of MCP client integration, transports (e.g., STDIO/HTTP), authentication/authorization, and managing connections to multiple MCP servers.

Context management & data access

o Strong understanding of context engineering: chunking, summarization, windowing, and context isolation for long running or multi step agent flows.

o Ability to choose and justify between MCP exposed tools, private data stores, and RAG/vector search for internal data, considering latency, security, and governance.

Prompting, safety, and guardrails

o Experience designing robust prompts for tools and agents, including patterns to mitigate prompt injection, prompt stuffing, and data exfiltration risks.

o Familiarity with permissioned tools, human in the loop reviews, and policy checks before sensitive actions (e.g., code changes, production-impacting calls).

Autonomous workflows & Ralph loops

o Experience setting up Ralph style or similar long running coding loops that iteratively modify codebases, gated by tests, linters, and explicit stop conditions.

o Skills in observing, logging, and debugging agent runs (traces, run logs, metrics) and iterating on prompts/skills/MCP design based on real world feedback.

Strong experience and exposure in customer communications for requirements gathering, pitching the proposal and regular follow ups and sync up.

Cloud technology: Excellent cloud exposure is desired with AWS experience is highly desired

Soft Skills:

Excellent communication, rich customer facing experience, ability to explain trade offs to engineers and stakeholders, and a practical approach to balancing quality, safety, and delivery speed.