Builds AI platform foundation including model routing, agent infrastructure, context management, and evaluation systems for legal AI products. Requires 5+ years backend experience with 1+ year AI/ML, production multi-model systems, and shared platform expertise.
220k – 300k/yr
On-site5+ YOEBackend Engineering
About the role
Representative Projects
Context Engineering & Agent Infrastructure: Build platform-level systems for context management, session state, and memory.
Model Integration & Routing: Own infrastructure for onboarding foundation models and routing to the right one.
Evaluation Infrastructure: Build shared eval tooling and frameworks.
Shared Abstractions: Create SDKs, platform primitives, and developer tooling.
What You’ll Do
Design and build abstractions and platform-level systems that improve all agentic products.
Own infrastructure for model integration, routing, and evaluation.
Build evaluation frameworks and tooling for AI quality iteration.
Partner with product engineering teams, PMs, and design to launch AI products.
Evaluate, prototype, and integrate latest AI and agentic systems advancements.
What You Have
5+ years building backend systems, with 1+ year in AI/ML engineering (Staff: 8+ years, technical leadership).
Experience shipping multi-model or multi-provider AI systems in production.
Familiarity with context management, session state, or memory in AI/distributed systems.
Track record building internal platforms, SDKs, or shared infrastructure adopted by teams.
Strong judgment on abstractions; pragmatic about shipping.
Excitement for agentic AI infrastructure challenges.
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