Fireworks AI - AI Field Engineer - AI Natives
Requirements
• 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. • Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment. • Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering. • Working 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 infrastructure. • Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon. • Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains. • 10+ years in technical field or engineering roles. • Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads. • Prior 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 signal. • Track record taking GenAI POCs from prototype to production-scale deployments. • Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). • Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. • On Target Earnings (Plus Equity) • $200,000—$260,000 USD
Benefits
• 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. • 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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