Senior Forward-Deployed AI Engineer (Remote)

FullStack

Helena (MT)

Remote

USD 140,000 - 210,000

Full time

15 hours ago
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Benefits offered by this job

100% remote work
Competitive salary
401(k) w/ 4% match
Continuing education opportunities
Health, dental, and vision insurance

Job summary

FullStack is seeking Forward Deployed Engineers to embed with enterprise teams, turning AI concepts into production systems. You will diagnose business problems, design AI-enabled solutions, and ship working agents and retrieval services. The role blends consulting, engineering, and operations to ensure measurable impact.

You will work with regulated environments and Fortune 500 clients, owning architecture decisions, data readiness, and successful delivery from discovery to deployment.

Qualifications

  • 8-10+ years across ML, data, and software engineering.
  • Python-first, production-grade systems; typed, tested, deployed services.
  • Experience with CI/CD for AI/ML and deployment pipelines.
  • Deep understanding of retrieval, embeddings, and model behavior.
  • Ability to design and own end-to-end AI solutions in client environments.

Responsibilities

  • Discover. Run workshops with business, data, and engineering stakeholders.
  • Structure process and spec for automation in business processes.
  • Architect end-to-end agentic systems with emphasis on retrieval architecture.
  • Build agents, retrieval services, and evaluation tooling, delivering value in weeks.
  • Operate (Day 2): monitoring, cost control, and handoff to client teams.
  • Consult with CTOs, VPs of Engineering, and business leadership.

Skills

Python
TypeScript / Node
Java
CI/CD for AI/ML
Retrieval systems
Knowledge graphs

Tools

CI/CD
LLMOps / MLOps

Job description

FullStack is seeking Forward Deployed Engineers to embed with enterprise teams, turning AI concepts into production systems. You will diagnose business problems, design AI-enabled solutions, and ship working agents and retrieval services. The role blends consulting, engineering, and operations to ensure measurable impact.

You will work with regulated environments and Fortune 500 clients, owning architecture decisions, data readiness, and successful delivery from discovery to deployment.

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