AI Agent

Experience: 10+ Years (including ~2 years relevant agentic AI experience) Location: Pune (In Office) Experience: 10+ Years (including ~2 years relevant agentic AI experience) Skills required - Agent & sub‑agent architecture - Ability to design multi‑agent systems with planners, workers, and specialized sub‑agents, including clear hand‑off protocols and failure‑handling. - Around 2 years of relevant experience building and operating agentic workflows in real projects or products. - MCP servers and integrations - Hands‑on experience designing and implementing MCP servers that expose internal APIs, databases, and workflows to agents in a secure and observable way. - Practical knowledge of MCP client integration, transports (e.g., STDIO/HTTP), authentication/authorization, and managing connections to multiple MCP servers. - Context management & data access - Strong understanding of context engineering: chunking, summarization, windowing, and context isolation for long‑running or multi‑step agent flows. - 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 - Experience designing robust prompts for tools and agents, including patterns to mitigate prompt injection, prompt stuffing, and data‑exfiltration risks. - 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 - Experience setting up Ralph‑style or similar long‑running coding loops that iteratively modify codebases, gated by tests, linters, and explicit stop conditions. - Skills in observing, logging, and debugging agent runs (traces, run logs, metrics) and iterating on prompts/skills/MCP design based on real‑world feedback. - Cloud technology: Excellent cloud exposure is desired with AWS experience is mandatory - Strong experience and exposure in customer communications for requirements gathering, pitching the proposal and regular follow ups and sync up. Soft Skills: Excellent communication, ability to explain trade‑offs to engineers and stakeholders, and a practical approach to balancing quality, safety, and delivery speed.