Tech Lead

🔥 17 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Logo of Board of Innovation

Board of Innovation

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Board of Innovation is an AI innovation consultancy focused on autonomous innovation. They help businesses reinvent growth strategies and operating models for the autonomous age by designing AI-powered engines and providing strategic guidance on AI integration. Their goal is to unlock new levels of growth, efficiency, and innovation through their AI Strategy Guide and other resources. Board of Innovation partners with leaders to pioneer AI-native transformations in various sectors, ensuring businesses are well-equipped to thrive in a rapidly evolving technological landscape.

📋 Description

• 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

🎯 Requirements

• 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

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