AI Agent
Job Description
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.
