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Fetcherr is an AI company building responsible, market-focused intelligence systems that deliver measurable profit growth. The company's proprietary Market Model uses glass-box AI architecture to provide accurate demand predictions (96% forecast accuracy) and real-time decision intelligence for commercial teams. Operating in volatile markets like aviation (with customers including Delta, Virgin Atlantic, WestJet), Fetcherr delivers consistent 7% average profit uplift and is expanding across industries.
You will lead a cross-functional team of software engineers and data scientists building production-grade LLM-based applications. This is a hands-on technical leadership role requiring you to architect systems, own end-to-end delivery, and establish engineering excellence across the team.
Key responsibilities include:
- Leading and mentoring a team of engineers and data scientists on LLM application development
- Translating product and business goals into technical roadmaps, milestones, and delivery plans
- Owning architecture, experimentation, deployment, monitoring, evaluation, and continuous improvement
- Designing LLM workflows using RAG, tool calling, structured outputs, agents, deterministic logic, and human-in-the-loop patterns
- Establishing evaluation-driven development practices with quality metrics, regression tests, golden datasets, and observability standards
- Ensuring systems meet production standards for scalability, performance, reliability, security, and maintainability
- Providing technical guidance, mentorship, and career development for team members
- Managing priorities, scope, risks, and trade-offs across work streams
- Partnering with product, design, DevOps, data engineering, security, and other technical leaders
- Driving continuous improvement in delivery quality and engineering practices
The ideal candidate has proven experience delivering complex production-grade systems, strong software architecture skills, applied AI judgment, disciplined execution, and people leadership. You should excel at turning ambiguous product goals and exploratory AI work into reliable production software.
