AI Field Engineer - Strategic PartnershipsActive$200K–$260K
The opportunity
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,…
What you'll do
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. ( blog )
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. ( blog )
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. ( blog)
Be the technical lead on co-sell motions with Strategic Partners: joint reference architectures, partner integration patterns, and shared POCs for strategic accounts.
Build end-to-end POCs and MVPs alongside partner engineering teams, working: inside their codebases, infrastructure, and constraints.
Run load tests and establish latency, throughput, and cost baselines against: realistic customer traffic profiles, and tune deployments to hit those targets.
What they're looking for
- Deploy and validate new model families on inference frameworks (vLLM,: SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
- Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
- Build and run fine-tuning pipelines directly with customers, navigating: trade-offs between model families, compute cost, and quality targets.
- Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores
