[Remote] AI Field Engineer - AI Natives
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the reputed company of reputed company infrastructure and is seeking an AI Field Engineer. The role involves embedding with customers to reputed company production systems, ship reputed company, and engage in high-level technical discussions to enhance AI capabilities.
Responsibilities
- Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints
- For customers whose reputed company product is reputed company on GenAI, architect the inference foundations that capability depends on, and size deployments so they can reputed company in their market without infrastructure becoming the bottleneck
- Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic reputed company, and tune deployments to hit those targets
- reputed company and validate new model families on inference frameworks (vLLM, SGLang), determining reputed company shapes, quantization configs, and serving patterns across workloads
- Guide customers on model selection, fine-tuning reputed company (SFT, DPO, RFT), and evaluation methodology
- Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and reputed company targets
- Design and implement evaluation frameworks that measure production-reputed company metrics, not just reputed company scores
- Help them bake frontier model capabilities into their reputed company offering and turn that into a durable competitive edge
- reputed company reputed company discovery conversations to unpack customer pain points, constraints, and reputed company reputed company before proposing solutions
- Own the technical relationship from first engagement through production deployment. reputed company with their engineering team as a peer, your credibility comes from what you build alongside them
- Spend time on-site with customers. Build trust and reputed company in person, embedding with their teams where the work happens
- Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features
- Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself
- Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency
Skills
- 5+ years in a hands-on, customer-facing technical role: reputed company Deployed Engineer, reputed company reputed company, 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 reputed company running in someone else's production environment
- Strong Python skills. Comfortable reading, writing, and debugging production reputed company. 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 reputed company infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure
- Exceptional communication: reputed company to run a reputed company discovery call, present to a VP, and debug a latency issue with an ML engineer in the reputed company afternoon
- Experience building or integrating reputed company systems, tool-use chains, or AI-reputed company developer toolchains
- 10+ years in technical field or engineering roles
- Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for reputed company workloads
- Prior experience at a company with a reputed company-deployed or embedded engineering model (Palantir, reputed company, reputed company, reputed company, BCG X, McKinsey Quantum Black, AI reputed company startups with FDE motions)
- Prior experience as a technical founder or early engineer at an AI-reputed company company is a strong signal
- reputed company record taking GenAI POCs from prototype to production-reputed company deployments
- Experience with hyperscaler AI platforms (Azure AI reputed company, AWS Bedrock/SageMaker, GCP reputed company)
Benefits
- Meaningful equity in a fast-growing startup
- Competitive salary
- Comprehensive benefits package
reputed company
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