AI Field Engineer, Singapore
Fireworks AI4 months ago
Singapore, SingaporeSenior
Responsibilities
- Build end-to-end POCs and MVPs alongside customer engineering teams within their codebases, infrastructure, and constraints.
- Architect inference foundations and size deployments for GenAI products so they can scale without infrastructure bottlenecks.
- Run load tests, establish latency, throughput, and cost baselines, and tune deployments against realistic customer traffic.
- Deploy and validate model families on inference frameworks and optimize model shapes, quantization configurations, and serving patterns.
- Guide model selection, fine-tuning strategy, and evaluation methodology for customer use cases.
- Build and run fine-tuning pipelines and design evaluation frameworks focused on production-quality metrics.
- Lead customer discovery, solution design, technical delivery, and the path from POC to production deployment.
- Own technical relationships with customers, including executive stakeholders and ML engineering teams, while working on-site when needed.
- Translate recurring customer pain points into product proposals, fixes, features, tooling, documentation, and roadmap feedback.
Requirements
- At least 5 years of experience in a hands-on, customer-facing technical role such as Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
- Demonstrated ability to build production software with customers and ship code running in another organization's production environment.
- Strong Python skills and comfort reading, writing, and debugging production code.
- Familiarity with Kubernetes and infrastructure engineering.
- Working knowledge of LLM inference trade-offs, model serving, and fine-tuning workflows, with SFT required at minimum and DPO/RFT a plus.
- Experience with AWS, Azure, or GCP cloud infrastructure and deploying models on GPU infrastructure.
- Ability to lead discovery calls, present to vice presidents, and troubleshoot technical issues with ML engineers.
- Preferred: 10+ years in technical field or engineering roles.
- Preferred: Experience with vLLM, SGLang, or TensorRT-LLM and tuning inference deployments for real workloads.
- Preferred: Experience working as a technical authority inside customer environments and shipping production code within their infrastructure.
- Preferred: Track record taking GenAI POCs from prototype to production-scale deployment.
- Preferred: Experience with Azure AI Foundry, AWS Bedrock, AWS SageMaker, or GCP Vertex.
- Preferred: Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.
Benefits
- The role involves spending time on-site with customers and embedding with their teams in person.
- The company offers the opportunity to work on frontier AI infrastructure and collaborate with engineers and AI researchers.
- Fireworks is committed to being an equal-opportunity employer and fostering an inclusive workplace.
Categories
Forward Deployed
About Fireworks AI
Fireworks AI builds a generative AI platform for developers and enterprises to train, fine-tune, and serve open models for production use across text, image, audio, embeddings, and multimodal workloads. It offers managed inference and tooling via APIs on globally distributed infrastructure, with a usage-based SaaS model. Founded in 2022 and headquartered in San Mateo, CA, Fireworks AI is a privately held, Series D company.