Forward Deployed Engineer

About Luminai

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 dont have enough resources to properly automate these tasks and are stuck in manual decades old way of doing things.

At Luminaiwe develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the worlds 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.

Weve 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.

About The Role

As a Forward Deployed Engineer you will sit at the intersection of engineering product and customer delivery. Youll 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. Youll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate.

This is a hybrid position. Our team is in-office 3 days a week (Mon Tue Thu) in San Mateo California.

What Youll Do

• 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

What Were Looking For

• 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

Required Experience:

IC