Artificial Intelligence Engineer

GW116
  • $180,000-$220,000
  • Boston, MA
  • Permanent

About the job


AI Engineer


Who We Are

We're a rapidly expanding startup operating at the convergence of artificial intelligence and systems engineering. Our focus: helping enterprises deploy, scale, and operationalise AI with efficiency and reliability.


What You'll Own

  • Optimise and accelerate AI training and inference pipelines for production workloads
  • Build a robust ML infrastructure that scales with enterprise demand
  • Deploy and maintain production AI systems across cloud environments
  • Monitor, debug, and enhance the performance of live AI applications
  • Bridge the gap between ML teams and production systems
  • Drive reliability, efficiency, and cost optimisation across the AI stack


What We Need

  • Deep expertise in ML Systems: training optimisation, inference acceleration, performance tuning
  • Strong Python skills with experience in TypeScript or Go
  • Hands-on knowledge of modern ML frameworks (PyTorch, vLLM, Transformers, Megatron-LM, CUDA)
  • Production experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Docker/Kubernetes)
  • Collaborative mindset with strong systems-level problem-solving abilities


Why This Role

  • Real Impact: Build systems that make AI actually work in production, not just in notebooks
  • Ownership: Shape technical architecture and influence product strategy
  • Growth: Competitive compensation, meaningful equity, clear advancement paths
  • Challenge: Solve hard problems at the intersection of ML and distributed systems
  • Team: Work alongside engineers tackling complex technical challenges in a collaborative environment


Anna Heneghan Senior ML Research & Engineering Recruiter

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