FDE Team Lead

Luminai, Inc

$130K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience, preferably in backend/system-focused roles
  • Proven ability to lead a team with minimal oversight
  • Strong proficiency in Python; familiarity with TypeScript/JavaScript is advantageous
  • Experience with cloud platforms like AWS, GCP, or Azure
  • Ability to transform unclear requirements into functional systems
  • Excellent communication skills for engaging with diverse stakeholders
  • Demonstrated ownership mentality and adaptability in dynamic settings
  • Experience with AI technologies such as LLMs or vector databases is beneficial

Responsibilities

  • Embed with customers to grasp their workflows and requirements
  • Design and deploy AI solutions for operational challenges
  • Maintain production systems, including APIs and monitoring
  • Translate business needs into technical solutions
  • Work in high-pressure settings with emphasis on reliability
  • Analyze customer deployments for insights to inform product development
  • Collaborate with Product and Engineering on system design and roadmaps
  • Oversee the whole deployment process from scoping to launch
  • Establish technical standards and best practices for the team
  • Mentor junior FDEs and guide on technical and customer-related decisions

Benefits

  • Flexible work environment that promotes autonomy
  • Opportunities for professional growth and mentorship
  • Access to cutting-edge technology and innovative projects
  • Collaboration with cross-functional teams and customers
  • Engagement with impactful solutions in the healthcare sector
Full Job Description
About the role

As a Forward Deployed Engineering Lead, you will sit at the intersection of engineering, product, and customer delivery, while also raising the bar for how the FDE team operates. You'll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact, while also setting the technical standard for the team around you.

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, and you'll bring the judgment of a more senior builder to a team that's still growing into that muscle.

What You'll 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
  • Set technical direction and best practices for the FDE team, raising the bar on code quality, architecture decisions, and deployment rigor
  • Mentor and unblock other FDEs, acting as a senior voice in the room on ambiguous technical and customer tradeoffs

What We're Looking For
  • 5+ years of software engineering experience, ideally as an FDE or in backend / systems-focused work
  • A track record of being the senior, steady hand on a team, comfortable operating with less oversight and setting the bar for others
  • 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

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