Forward Deployed Engineer

Nearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things.

At Luminai , we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal.

We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.

As a Forward Deployed Engineer , you will sit at the intersection of engineering, product, and customer delivery. You’ll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact.

This is a highly autonomous, hands-on role for someone who thrives in ambiguous environments, enjoys working directly with customers, and wants to shape product direction through what they see in the field. You’ll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate.

Embed directly with customers to understand their workflows, constraints, and success criteria

Design, build, and deploy AI-driven solutions tailored to real operational problems

Build and maintain production systems including APIs, integrations, monitoring, and feedback loops

Translate business requirements and customer needs into technical architectures and implementations

Operate in high-stakes environments where reliability, speed, and judgment matter

Identify patterns across customer deployments and feed insights back into core product and platform development

Partner closely with Product and Engineering to influence roadmap, abstractions, and long-term system design

Own deployments end-to-end, from initial scoping through launch and iteration

3+ years of software engineering experience, ideally with backend or systems-focused work

Strong proficiency in Python (TypeScript / JavaScript experience is a plus)

Experience working with cloud infrastructure (AWS, GCP, or Azure)

Ability to translate ambiguous requirements into working, production-ready systems

Strong communication skills and comfort working with both technical and non-technical stakeholders

High ownership mindset with the ability to operate independently in fast-changing environments

Experience with AI systems (LLMs, vector databases, prompt engineering, or agent frameworks) is a strong plus