Associate Forward Deployed Engineer

Provectus

New York, United States0–2 yrs1h agovia LinkedIn

About the Role

  • This role is for early-career engineers who want to learn how AI gets deployed in the real world.
  • You'll join each engagement paired with a Senior FDE.
  • Every engagement begins from a Blueprint that has already shipped for a customer in that industry.

Key Responsibilities

  • Learn a client's function from the inside and help redesign it alongside your senior FDE and the Forward Deployed Executive.
  • Ship production code for LLM applications, agentic workflows, and retrieval and extraction pipelines.
  • Build the evaluation harness before the feature: define what working means, then measure it.
  • Take systems to production on AWS, and feed what you learn back into the Blueprint.
  • Drive adoption and build credibility with the client's engineers and operators.

Requirements & Tech Stack

  • Python or TypeScript
  • Claude Code basics
  • AWS/Azure/GCP basics
  • Containers
  • CI/CD
  • Cloud delivery on AWS

Qualifications

  • A degree in computer science, engineering, or another STEM field.
  • 0–2 years of experience; internships, co-ops, and research count.
  • You built projects where you integrated AI as part of your SDLC (internship, research, or hackathon entry) that you can walk us through in depth.
  • Curiosity and speed of learning: pick up unfamiliar subjects quickly and ask good questions, especially about how real businesses work.
  • Good communication skills: ability to explain complex technical subjects to non-engineers.
  • Willingness to spend real time learning a client's job before you write code.

Great If You Have

  • AI/ML coursework or foundations
  • Comfort with ambiguity
  • Interest or coursework in financial services, insurance, healthcare, or asset management
  • Data pipelines or SQL
  • Classical ML or MLOps (PyTorch, SageMaker, MLflow)
  • Infrastructure-as-code
  • Open-source contributions, hackathon projects, or public writing on applied AI
  • Claude certification or AWS certification

What You'll Learn

  • How to deploy LLM and agentic systems into regulated production (banks, insurers, health systems).
  • How to build evaluation harnesses: defining what "working" means, then measuring it.
  • Claude Code in production, working toward Claude certification.
  • A real business domain (insurance underwriting, healthcare revenue cycle, asset management).
  • How to work with clients: their operators, engineers, and executives.

Your First 90 Days

  • Onboarding into Blueprints, delivery stack (Claude Code, AWS), and how to build evals, plus a primer on your first client's industry.
  • Join an engagement with your senior FDE, shadow the operator, then do the work yourself.
  • Own a scoped part of a production system, with code review and your senior FDE beside you.

What You'll Get

  • A senior FDE paired with you on every engagement, a named mentor accountable for your growth.
  • Regular feedback and a clear path to Forward Deployed Engineer.
  • Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
  • Real production experience in regulated industries.
  • Opportunity to work with cutting-edge AI and cloud solutions.
  • Full-time model.
  • Unlimited Vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(K) matching plan.
  • Salary base range: $120-145k.

How We Hire

  • Technical task to demonstrate programming fundamentals, problem-solving skills, and ability to work with AI-powered solutions.
  • Intro conversation to discuss background, projects, and career aspirations.
  • Task discussion about your approach, next steps, and evaluation methods.
  • No LLMs are permitted during the task discussion.

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