Tech Lead

• Own the technical delivery of demanding enterprise AI builds end to end
• Shape technical scope, solution approach, team composition, timeline, proposals, and estimates
• Lead architecture, document technical decisions, review engineering work, and manage progress, trade-offs, and risks
• Build prototypes, hard integrations, and critical-path fixes when needed
• Deliver production-grade systems, including agentic systems, LLM-powered services, and supporting platforms
• Serve as the client's technical counterpart and explain technical decisions to non-technical stakeholders
• Navigate enterprise approvals, platform teams, security reviews, and organizational constraints
• Work on internal tooling and templates between client builds
• Mentor engineers on project teams
• Report directly to the Engineering Director
• Run one flagship build nearly full-time or two or three smaller builds concurrently, depending on the portfolio

• 5+ years of engineering experience
• At least 2 years technically leading builds and the engineers on them
• Experience taking systems from design to production in another organization's environment
• Applied AI engineering expertise, including agents, tool use, retrieval, MCP, evals, and orchestration
• Experience shipping LLM-based systems into production
• Knowledge of reliability, cost, and evaluation considerations for LLM systems
• Proficiency in Python, CI/CD, testing, code review discipline, and infrastructure-as-code
• Fluency with AI-assisted coding tools such as Claude Code, Codex, and MCP-based workflows
• Real production cloud experience; Azure preferred
• Experience deploying inside locked-down enterprise environments is a plus
• Ability to explain architecture to VP-level stakeholders and manage client-facing technical discussions
• Must be based in Lisbon or elsewhere in Portugal
• CV and a short note describing a technically led build, what went wrong, and what would be done differently