Remote Forward-Deployed AI Engineer (Python)

FullStack; Fort Worth (TX); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Salary

100% remote work

401(k) match

Health, dental, and vision insurance

Paid time off

Job summary

FullStack seeks Forward Deployed Engineers to sit with enterprise teams, architect AI-powered systems, and deliver production-ready solutions. You’ll operate as consultant, engineer, and operator, shaping problems and delivering high-value work with data-driven approaches.

You’ll partner with Fortune 500 clients and regulated industries, owning discovery, architecture, and end-to-end delivery while ensuring trustworthy AI through robust data, context and evaluation.

Qualifications

• 5+ years of professional software development experience with at least one mainstream production stack.

Responsibilities

• Discover. Run workshops and process discovery with business, data, and engineering stakeholders.
• Structure the process and the spec. Map current state and exceptions, then turn into specs.
• Architect & design end-to-end agentic systems with context and retrieval architecture.
• Build working systems: agents, retrieval services, evaluation tooling, data flows.
• Engineer the delivery system: CI/CD for AI, prompt/context versioning, eval suites.
• Operate (Day 2): eval harnesses, observability, cost and latency management.
• Consult: defend decisions with CTOs, VPs, and business leadership.

Skills

Advanced English

End-to-end delivery ownership

Agile / Scrum

Client-facing discovery calls

Ownership mindset

Education

Four-year college degree

Tools

Cursor

Claude Code

Gemini CLI

OpenAI Codex

Job description

FullStack seeks Forward Deployed Engineers to sit with enterprise teams, architect AI-powered systems, and deliver production-ready solutions. You’ll operate as consultant, engineer, and operator, shaping problems and delivering high-value work with data-driven approaches.

You’ll partner with Fortune 500 clients and regulated industries, owning discovery, architecture, and end-to-end delivery while ensuring trustworthy AI through robust data, context and evaluation.