AI Agent

Job Description

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

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Location: Pune (In Office)

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

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Skills required

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• Agent & sub‐agent architecture
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• Ability to design multi‐agent systems with planners, workers, and specialized sub‐agents, including clear hand‐off protocols and failure‐handling.
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• Around 2 years of relevant experience building and operating agentic workflows in real projects or products.
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• MCP servers and integrations
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• Hands‐on experience designing and implementing MCP servers that expose internal APIs, databases, and workflows to agents in a secure and observable way.
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• Practical knowledge of MCP client integration, transports (e.g., STDIO/HTTP), authentication/authorization, and managing connections to multiple MCP servers.
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• Context management & data access
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• Strong understanding of context engineering: chunking, summarization, windowing, and context isolation for long‐running or multi‐step agent flows.
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• Ability to choose and justify between MCP‐exposed tools, private data stores, and RAG/vector search for internal data, considering latency, security, and governance.
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• Prompting, safety, and guardrails
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• Experience designing robust prompts for tools and agents, including patterns to mitigate prompt injection, prompt stuffing, and data‐exfiltration risks.
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• Familiarity with permissioned tools, human‐in‐the‐loop reviews, and policy checks before sensitive actions (e.g., code changes, production-impacting calls).
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• Autonomous workflows & Ralph loops
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• Experience setting up Ralph‐style or similar long‐running coding loops that iteratively modify codebases, gated by tests, linters, and explicit stop conditions.
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• Skills in observing, logging, and debugging agent runs (traces, run logs, metrics) and iterating on prompts/skills/MCP design based on real‐world feedback.
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• Cloud technology: Excellent cloud exposure is desired with AWS experience is mandatory
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• Strong experience and exposure in customer communications for requirements gathering, pitching the proposal and regular follow ups and sync up.
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Soft Skills:

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