Forward Deployed Engineer

San Francisco, CA, US • Posted 17 hours ago • Updated 2 hours ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Recruiting
  • API
  • Workflow
  • Microsoft Certified Professional
  • Extraction
  • Unstructured Data
  • Optimization
  • Reliability Engineering
  • Regression Analysis
  • Artificial Intelligence
  • Machine Learning (ML)
  • Data Engineering
  • SQL
  • PostgreSQL
  • Incident Management
  • Cost Control
  • Management
  • Orchestration
  • Evaluation
  • Access Control
  • Authorization

Summary

.

We're hiring a senior engineer with deep technical range across the AI systems stack: someone who reasons about the production behavior of LLM-based systems, distributed infrastructure, and data pipelines, not just how to call a model API.

What you'll do

  • Agentic and orchestration systems: multi-agent workflows, tool-use and agent-facing protocols (MCP or equivalent), state and memory management, tracing, replay, sandboxing.
  • Large-scale data and knowledge infrastructure: entity/relationship graphs, structured extraction from unstructured data using LLMs in bounded, evaluable ways, incremental pipelines that avoid full reprocessing on every change.
  • Model serving and inference: deployment, latency and cost optimization, reliability engineering for systems calling LLMs or client-hosted models at scale.
  • Evaluation and cost infrastructure: gold sets, regression detection, per-operation cost meters.
  • Access control and trust: permission and sensitivity enforcement built into the data layer, a single mutation/write gate every pipeline passes through.
  • Core backend and data engineering: schema design, query planning, distributed systems fundamentals.

What we're looking for

  • 5+ years building production systems, with genuine depth in AI/ML systems: how LLM-based systems, distributed data infrastructure, and agentic pipelines fail in production (drift, cost blowup, latency cliffs, brittle orchestration), and how to design around it.
  • Strong distributed systems and data engineering fundamentals: SQL/Postgres at a level where you reason about query plans and schema design under production constraints; comfort running these systems in production (monitoring, incident response, cost control).
  • Direct production experience with at least two or three of: agentic/orchestration systems, knowledge/data infrastructure at scale, model serving and inference, evaluation systems, access-control and authorization design.
  • Security-conscious by default.
  • Comfort taking an architecture with open decisions and closing the gaps yourself.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91001915
  • Position Id: RAKS- 5715-15979-1789592578
  • Posted 17 hours ago
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