About the role

  • Collaborate with delivery leaders to scope technical solutions to operational problems
  • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
  • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
  • Iterate quickly based on real-time feedback from operators and clients
  • Build reusable tooling and infrastructure that accelerates future deployments

Requirements

  • 1-4 years of professional experience in software engineering or ML engineering
  • Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs
  • Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS)
  • Experience building usable systems from messy data and ambiguous requirements
  • Strong communication skills — you can explain technical decisions to delivery teams and client stakeholders
  • Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
  • Be willing to be on-call for our customers when situations arise
  • Ability to travel roughly 25-50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
  • Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

Benefits

  • Offers will also include bonus + equity + benefits

Job title

Software Engineer – Forward Deployed

Job type

Experience level

Junior

Salary

$85,000 - $220,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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