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Lightning AI

Forward Deployed Engineer

Lightning AI
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about 2 hours ago
London, United Kingdom +3 moreMid Level / Senior

Base Salary

$120k - $250k/yr

Responsibilities

  • Partner directly with customers to design, implement, and deploy end-to-end AI systems and workflows.
  • Translate vague customer objectives into clear technical specifications and scalable production implementations.
  • Own customer technical engagements from early discovery through deployment and monitoring.
  • Develop and maintain production-grade software systems using modern programming languages, preferably Python.
  • Build reliable, observable systems with attention to latency, throughput, quality, scalability, and cost efficiency.
  • Debug and optimize AI systems across inference infrastructure and distributed workloads.
  • Collaborate with customer engineering teams throughout the AI deployment lifecycle.
  • Work cross-functionally with product and engineering teams to improve platform capabilities.
  • Navigate ambiguity with sound technical judgment and make thoughtful tradeoffs.
  • Demonstrate strong ownership and accountability in execution.

Requirements

  • Strong software engineering experience in one or more general-purpose programming languages, preferably Python.
  • Experience working directly with customers in technical environments.
  • Familiarity with AI/ML pipelines and the lifecycle of model development.
  • Experience deploying and operating production AI/ML systems in cloud or distributed environments.
  • Familiarity with modern AI infrastructure and tooling such as Docker and Kubernetes.
  • Strong communication and collaboration skills for complex technical discussions.
  • Ability to translate business needs into technical solutions.
  • Ability to execute effectively in ambiguous, fast-moving environments.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

Benefits

  • Comprehensive medical, dental, and vision coverage (U.S.); Private medical and dental insurance (U.K.).
  • Retirement and financial wellness support (U.S.); Pension contribution (U.K.).
  • Generous paid time off, plus holidays.
  • Paid parental leave.
  • Professional development support.
  • Wellness and work-from-home stipends.
  • Flexible work environment.

Tech Stack

DockerKubernetesPython

Categories

AI & MLBackendData Engineering