Engineering Manager - Agentic AI

Why this role

We’re building enterprise‑grade Agentic AI platform & applications for recruitment —from sourcing and screening to interview assistance and offer orchestration. You’ll lead a small, high‑leverage team that ships fast, measures rigorously, and scales responsibly.

What you’ll do

• Own delivery end‑to‑end : backlog, execution, quality, and timelines for Agentic AI features.
• Be hands‑on (30–50% coding) : set the technical bar in Python / TypeScript; review PRs; unblock tricky problems.
• Design agentic systems : tool‑use orchestration, planning / looping, memory, safety rails, and cost / perf optimization.
• Leverage LLMs smartly : RAG, structured output, function / tool calling, multi‑model routing; evaluate build vs. buy.
• Ship production ML / LLM workflows : data pipelines, feature stores, vector indexes, retrievers, model registries.
• MLOps & Observability : automate training / inference CI / CD; monitor quality, drift, toxicity, latency, cost, and usage.
• EVALs & quality : define task‑level metrics; set up offline / online EVALs (goldens, rubrics, human‑in‑the‑loop) and guardrails.
• DevOps (T‑shaped) : own pragmatic infra with the team—GitHub Actions, containers, IaC, basic K8s; keep prod healthy.
• Security & compliance : enforce data privacy, tenancy isolation, PII handling; partner with Security for audits.
• People leadership : recruit, coach, and grow a high‑trust team; establish rituals (standups, planning, postmortems).
• Stakeholder management : partner with Product / Design / Recruitment SMEs; translate business goals into roadmaps.

What you’ve done (must‑haves)

Nice to have