AI Forward Deployed Engineer EMEA
Role Summary
Join Fireworks as an AI Forward Deployed Engineer, responsible for customer deployments and model optimization in a dynamic AI environment.
About the Organisation
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
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- 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.
Key Responsibilities
- Deployment Ownership: Own the technical outcome of customer deployments end to end, from architecture through production.
- Embedded Pilots: Design, scope, and run proof-of-value pilots inside customer environments, with clear success criteria.
- Pre-Signature Scoping: Act as the technical owner on complex deals (dedicated deployments, BYOC, compliance-sensitive architectures) and carry them through delivery.
- Unblocking: Diagnose and resolve capacity, performance, integration, and model selection issues, pulling in specialists where needed.
- Model and Platform Fit: Guide customers to the right models, deployment tiers, and optimization paths (e.g. quantization, speculative decoding, fine-tuning handoff to AMLEs).
- Product Signal: Feed structured, prioritized signal from the field back to product and engineering.
Minimum Requirements
- 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.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 3+ years of experience as a software engineer, with depth in backend systems and infrastructure.
- Strong coding skills in Python and at least one systems language; comfortable shipping in unfamiliar codebases and customer environments.
- 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.
- Working knowledge of modern generative AI: inference, serving, and the tradeoffs across models and deployment options.
- Proven ability to own ambiguous technical problems under time pressure and drive them to resolution.
- Genuine appetite for customer-facing work and strong communication with senior technical stakeholders.
- Founder or founding engineer experience, especially as a technical co-founder or CTO.
- Experience with GPU infrastructure, distributed serving, or performance engineering.
- Prior forward deployed, solutions architecture, or professional services experience at a technical product company.
- Experience in a startup or fast-paced environment.
Eligibility Criteria
The role is open for applications, but specific visa sponsorship details and eligibility for international applicants, particularly from Africa, is unclear.
⚠️ Disclaimer: PathwayAI Africa does not guarantee employment, scholarships, visas, or admission. Always verify all opportunities through official sources before submitting personal information.
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