Technical Lead β Agentic AI & MCP π€β‘
π Remote / Full-Time
π§ π» PST.AG
Job link: https://erp.pst.ag/jobs/pst.ag/it-project-manager-ai
About the Role
We're building production-grade autonomous AI systems on the Hermes Agent platform by Nous Research. We need a Technical Lead who has shipped with Hermes β not just read about it. You'll architect agent workflows, wire up MCP tool servers, and own the delivery of multi-agent systems from prototype to production.
Must-Have β Hermes Agent Experience
β
You have shipped a production or pilot project on Hermes Agent β skill files, cron jobs, task delegation, Kanban auto-dispatch, multi-agent orchestration
β
You know how to build and manage Hermes subagents β parallel task delegation, failure retry, context injection
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You've wired up MCP connectors to tools like Slack, Outlook, Jira, ADO, or custom APIs within the Hermes framework
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You understand the Hermes architecture β agent lifecycle, provider-agnostic design, session memory, workflow learning
What You'll Do
Architect & build agentic AI systems on the Hermes platform β ReAct loops, planner-executor, multi-agent workflows
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 β setting technical direction, reviewing architecture, unblocking delivery
Drive agent safety & reliability β guardrails, non-determinism handling, token budget management, goal misalignment detection
Own production outcomes β from prototype to pilot to production, you're accountable for the system working in the real world
Build reusable workflows β capture patterns as Hermes skills so the team ships faster over time
Nice-to-Have (not required)Formal project management experience (WBS, Gantt, EVM, change control)
PMP or PRINCE2 certification
Traditional waterfall/hybrid delivery background
What Else We're Looking For
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Deep understanding of agent architectures (ReAct, planner-executor, tool-use loops, memory, orchestration)
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Strong technical communication β explain architecture decisions, trade-offs, and failure modes to engineers and stakeholders
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Structured, accountable, proactive β 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 beyond Hermes
Why Join Us?
Work on the cutting edge of Hermes Agent + MCP β you'll be shaping the platform, not just using it
High ownership, low bureaucracy
Source: Wellfound.
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