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PST.AG · Greater Bengaluru Area

Technical Lead – Agentic AI / Hermes Agent / MCP

Hybriddirectorfull timePosted 7 days ago
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agentic-aireactllm

We're building the next generation of autonomous Hermes Agent AI systems — agentic architectures powered by the Model Context Protocol (MCP). We're looking for a Technical Lead who can architect, ship, and own agentic AI solutions end-to-end. This is a hands-on technical leadership role first — you'll be in the code, shaping agent behavior, designing tool-use flows, and making real-time decisions about safety, cost, and reliability.

JOB LINK: https://erp.pst.ag/jobs/pst.ag/it-project-manager-ai

What You'll Do

- Architect & build agentic AI systems — ReAct loops, planner-executor patterns, multi-agent orchestration

- Design & integrate MCP tool servers and registries for real-world tool-using LLM applications

- Lead a team of ML engineers, MCP developers, and safety testers — setting technical direction, reviewing architecture, and unblocking delivery

- Drive agent safety & reliability — implement guardrails, handle non-determinism, manage token budgets, and monitor for goal misalignment

- Own production outcomes — from prototype to pilot to production, you're accountable for the system working in the real world

- Nice-to-Have (not required)

- Classical project management experience (WBS, Gantt, EVM, change control)

- PMP or PRINCE2 certification

- Formal waterfall or hybrid delivery background

What We're Looking For✅ Proven agentic AI delivery (Hermes Agent) — you've shipped at least one agentic AI system to production or pilot (autonomous support agent, multi-agent workflow, tool-using LLM, etc.)

✅ Deep understanding of agent architectures — ReAct, planner-executor, tool-use loops, memory, and orchestration

✅ Hands-on experience with MCP (or the ability to ramp quickly)

✅ Strong technical communication — you can explain architecture decisions, trade-offs, and failure modes to both engineers and stakeholders

✅ Structured, accountable, proactive — you own outcomes and lead by example

Bonus Points

- Built safety guardrails for LLM agents (prompt injection defenses, rate limiting, tool-use policies)

- Managed agent cost optimization (token tracking, model routing, caching strategies)

- Experience with multi-agent orchestration frameworks

Why Join Us?

- Work on the cutting edge of agentic AI and MCP — today's frontier, not yesterday's enterprise

- High ownership, low bureaucracy

- Competitive compensation

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