[Remote] AI Field Engineer - AI Natives

Note: The job is a remote job and is open to candidates in USA. Fireworks AI is a leading company in generative AI infrastructure, focused on delivering high-quality models with scalable inference. They are seeking an AI Field Engineer to work closely with customers, building production systems and enhancing their AI capabilities while engaging in technical discussions and stakeholder management.ResponsibilitiesBuild end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraintsFor customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneckRun load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targetsDeploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloadsGuide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodologyBuild and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targetsDesign and implement evaluation frameworks that measure production-quality metrics, not just benchmark scoresHelp customers bake frontier model capabilities into their core offering and turn that into a durable competitive edgeLead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutionsOwn the technical relationship from first engagement through production deployment. Embed with their engineering team as a peer, your credibility comes from what you build alongside themSpend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happensIdentify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and featuresCodify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itselfFeed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgencySkills5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founderDemonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environmentStrong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineeringWorking knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus)Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructureExceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoonExperience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains10+ years in technical field or engineering rolesExperience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloadsPrior experience at a company with a forward-deployed or embedded engineering model (Palantir, Scale AI, Anthropic, OpenAI, BCG X, McKinsey Quantum Black, AI Native startups with FDE motions)Prior experience as a technical founder or early engineer at an AI-native company is a strong signalTrack record taking GenAI POCs from prototype to production-scale deploymentsExperience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex)BenefitsMeaningful equity in a fast-growing startupCompetitive salaryComprehensive benefits packageCompany OverviewFireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models It was founded in 2022, and is headquartered in Redwood City, California, USA, with a workforce of 51-200 employees. Its website is https://fireworks.ai.Company H1B SponsorshipFireworks AI has a track record of offering H1B sponsorships, with 11 in 2026, 9 in 2025, 2 in 2024, 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.