Forward Deployed Engineer

RAKS Group LLC

San Francisco, CA, United States

12 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Big Data Information Engineering Data Infrastructure Distributed Data Store Distributed Systems Memory Management PostgreSQL Reliability Engineering SQL Databases Unstructured Data Large Language Models

+5 more

Multi-Agent Systems Backend Data Layers Low Latency Machine Learning Operations

Job description

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.

Requirements

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.