Forward Deployed Engineer, Agentic AI & RAG Trida AI San Francisco, CA (Remote) Contract · 1 week ago

Trida Labs; San Francisco (CA); Remote; USD 131,000 - 193,000; Full time

Job summary

Trida AI seeks a Forward Deployed Engineer to design, build, and deploy production AI systems. You will embed with customer teams to ship agentic workflows, retrieval, and data integrations for real-world adoption and measurable impact.

Remote role in the United States as a contract engineer; travel up to 40% may be required. Must have production Python experience with RAG/agentic apps and strong LLM stack fluency. Apply with [e-mail].

Qualifications

• Production Python experience with shipped RAG/agentic apps.
• Fluency across the LLM stack including vector DBs and orchestration.
• Systems mindset: latency, cost, reliability and observability from start.

Responsibilities

• Design and ship LLM agents that plan and act across tools, APIs and enterprise data
• Build high-performance retrieval: embeddings, vector search, memory and context pipelines
• Build MCP servers, sub-agents and reusable agent skills for production workflows
• Design human-in-the-loop review and approval steps into agentic workflows
• Evaluate agent quality and reliability, fix failure modes with data

Skills

Production Python

RAG/agentic apps

ReAct

Plan-and-execute

LLM stack fluency

Latency optimization

Job description

Forward Deployed Engineer, Agentic AI & RAG

Applications may be assessed in part using Trida's skill-based tools (verified certifications, skill tests, and FitScore), always alongside human review before any hiring decision.

Forward Deployed Engineer – Agentic AI & RAG

Work Model: Remote

Employment Type: Contract

Experience: 5–10 Years

Compensation: $95–$140 per hour

About Trida AI

Trida AI is a Forward Deployed Engineering services company that helps enterprises design, build, and deploy production AI systems. Our engineers embed with customer teams to ship agentic workflows, retrieval and data integrations, and the evaluation and hardening work that turns pilots into dependable production systems. Trida AI is expanding its services footprint across the United States as demand for production AI delivery grows.

About the Role

Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Success is production adoption and measurable workflow impact, not a demo. Travel to customer sites up to 40% may be required depending on the engagement.

What You'll Do

Design and ship LLM agents that plan and act across tools, APIs and enterprise data

Build high-performance retrieval: embeddings, vector search, memory and context pipelines

Build MCP servers, sub-agents and reusable agent skills for production workflows

Design human-in-the-loop review and approval steps into agentic workflows

Evaluate agent quality and reliability, fix failure modes with data

What We're Looking For

Production Python and shipped RAG/agentic applications (ReAct, plan-and-execute or equivalent)

Fluency across the LLM stack: frontier models, vector databases, orchestration frameworks

You think in systems: latency, cost, reliability and observability from the start

Additional Information

Must be authorized to work in the US; Trida AI does not provide sponsorship. Trida AI LLC is an equal opportunity employer. We welcome applicants of all backgrounds. If you need an accommodation in the application process, contact [e-mail]. Location: Remote — United States (San Francisco, CA base).

About Trida AI

Forward-deployed AI engineers embedded in your company to build, ship, and run AI systems that actually work in production.