Embedded AI Engineer for Enterprise Impact (Remote)

FullStack

Atlanta (GA)

Remote

USD 150,000 - 190,000

Full time

16 hours ago
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Benefits offered by this job

Competitive Salary
Paid Time Off (vacation, sick leave, 3
100% remote work
Health, dental, and vision insurance
401(k) w/ match
Career advancement
Continuing education opportunities

Job summary

FullStack is hiring Forward Deployed Engineers to embed with enterprise teams, architect AI-enabled solutions, and deliver value quickly in production. You will blend consulting, engineering, and operational skills to scope real AI needs, design robust architectures, and ship production-grade systems.

You will work across regulated environments with Fortune 500 clients, owning end‑to‑end implementations, and ensuring trustworthy data, retrieval, and model behavior while maintaining strong

Qualifications

  • 8–10+ years across ML, data, and software engineering.
  • Experience building production AI systems.
  • Ability to defend decisions with CTOs and VPs.

Responsibilities

  • Discover and map business processes for automation.
  • Structure process specs with data inputs and exceptions.
  • Architect end-to-end agentic systems with context and retrieval architecture.
  • Build agents and retrieval services, evaluating value in weeks.
  • Own CI/CD for AI/ML deployments and governance.
  • Operate Day 2: observability, cost management, and retraining.
  • Consult with CTOs, VPs of Eng, and business leadership; assist pre‑sales.

Skills

ML/Data Architect
Python Production-grade
CI/CD for AI/ML
Retrieval & RAG
Agent frameworks
Stakeholder communication

Tools

Claude Code
MCP
Tool calling
Multi-agent orchestration

Job description

FullStack is hiring Forward Deployed Engineers to embed with enterprise teams, architect AI-enabled solutions, and deliver value quickly in production. You will blend consulting, engineering, and operational skills to scope real AI needs, design robust architectures, and ship production-grade systems.

You will work across regulated environments with Fortune 500 clients, owning end‑to‑end implementations, and ensuring trustworthy data, retrieval, and model behavior while maintaining strong

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