Member of Technical Staff (EMEA)

Join Fireworks as a Member of Technical Staff in London, leveraging your software engineering skills to build AI solutions for EMEA clients.

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
• Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

• Build: Design and ship product capabilities end to end, from ambiguous need to running in production.
• Build on Inference: Create capabilities on top of the serving stack: routing, model controls, observability, and whatever a deployment turns out to need.
• Build on Training: Ship tooling around fine-tuning and post-training of LLMs, from data pipelines to evaluation, working alongside our applied ML engineers.
• Own Regional Capability: Turn EMEA-specific requirements into product, working with core platform where the line is unclear.
• Engineering Quality: Set the engineering bar for the regional team; your code is the reference.
• Agentic Development: Use coding agents and AI tooling as a core part of how you build, with judgment about when to trust the output.
• Optional Customer Work: Join deployments or customer conversations when useful or interesting; never required.

• First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.
• Excellent software engineering: depth in backend systems and infrastructure, and a track record of shipping production systems you owned.
• Strong coding skills in Python and at least one systems language.
• Fluent in AI-assisted and agentic engineering: uses coding agents and AI tooling as a core part of how you build, and knows when to trust the output and when not to.
• Genuine interest in inference and AI infrastructure.