Descripción de la oferta
Experteer Overview As Senior AI Tech Lead, you will serve as a hands-on technical leader for Agentic AI solutions across PoC, MVP, and Production. You will translate architecture and product intent into a concrete build plan and drive implementation with the team. You will define and enforce engineering practices to ensure testability and operational readiness. You will own development of key agentic components, guardrails, and human‑in‑the‑loop flows, ensuring reliability and maintainability. You will collaborate with architects and QA to ensure security, scalability, and production readiness, driving post‑release reliability and observability.Compensaciones / Beneficios
- Lead hands-on technical execution for Agentic AI capabilities across PoC, MVP, and Production with production‑grade quality.
- Translate architecture and product intent into a clear build plan and drive implementation through the team.
- Define and enforce engineering practices: coding standards, PR quality, branching strategy, and done criteria for workflows.
- Develop and guide orchestration, tool/API integrations, retrieval patterns, guardrails, and human‑in‑the‑loop flows.
- Unblock and troubleshoot defects, performance bottlenecks, and environment/build pipeline problems.
- Drive technical release readiness: dependencies, versioning, deployment checks, rollback planning, handover inputs.
- Ensure vendor work aligns to standards through reviews and integration oversight.
- Collaborate with QA/Validation to ensure testability and traceability with evidence generation across the SDLC.
- Partner with Solutions Architect to align with enterprise patterns, security/privacy, and architectural constraints; escalate gaps and propose options.
- Post‑release, improve reliability, tune performance, manage technical debt, and enhance observability for production‑level agentic behavior.Responsabilidades
- 8+ years in software engineering with hands‑on leadership as senior developer, tech lead, or lead engineer delivering complex systems.
- Experience leading SDLC‑level technical execution, including integration, testing strategy support, and production release readiness.
- Experience delivering AI‑enabled or data‑intensive products in regulated or enterprise contexts (strongly preferred).
- Bachelor's degree in a STEM field (Computer Science, Engineering, Data Science, Information Systems, Mathematics) or equivalent practical experience.
- Strong fundamentals in software design, APIs/integration, data flows, and distributed systems.
- Working knowledge of architecture principles (security, scalability, reliability, maintainability) and collaboration with architecture teams.
- Strong CI/CD practices: automated testing, code review discipline, environment readiness, and operational awareness.Requisitos principales
-
