Remote Forward-Deployed AI Engineer: Production-Ready

FullStack; New Mexico; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) match

Remote work

Paid time off

Career growth

Education opportunities

Job summary

FullStack is an AI-native engineering partner helping firms deploy AI into production. You will embed with client teams, identify AI opportunities, architect scalable systems, and deliver production-grade solutions with strong governance and measurable outcomes.

The role combines consulting, hands-on engineering, and operational leadership, working with regulated environments and large-scale deployments. Remote-first with global client exposure and comprehensive benefits.

Responsibilities

• Discover. Run workshops and process discovery with business, data, and engineering stakeholders.
• Structure the process and the spec. For any business process being automated, map the current state, decision points, data inputs, and exceptions, then turn it into specifications that both people and AI systems can execute against reliably.
• Architect & design. Design agentic systems end to end with emphasis on context and retrieval architecture — data sourcing, chunking, embeddings, hybrid search, reranking, permissions‑aware retrieval.
• Build. Ship working systems — agents, retrieval services, evaluation tooling, and the data flows that feed them.
• Engineer the delivery system. Own CI/CD for what you build, extended to AI: prompt and context versioning, eval suites that run in the pipeline and gate releases.
• Operate (Day 2). Own what happens after launch — eval harnesses, groundedness and retrieval metrics, observability and tracing, cost and latency management.
• Consult. Present to and defend decisions in front of CTOs, VPs of Engineering, CDOs, and business leadership.

Job description

FullStack is an AI-native engineering partner helping firms deploy AI into production. You will embed with client teams, identify AI opportunities, architect scalable systems, and deliver production-grade solutions with strong governance and measurable outcomes.

The role combines consulting, hands-on engineering, and operational leadership, working with regulated environments and large-scale deployments. Remote-first with global client exposure and comprehensive benefits.