[Hiring] AI Engineer @Hilbert's AI

Role Description

Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos — turning months-long decision cycles into minutes. We are looking for an AI Engineer who can build production-grade AI systems end-to-end — from prototype to pipeline to product — with the ownership and urgency of a startup culture.

This is not a "wire up a prompt chain and move on" role. You'll own core pieces of the AI stack that power Hilbert's demand intelligence platform, including:

• Designing agent architectures
• Building evaluation systems
• Making hard tradeoffs between accuracy, latency, and cost in production

What you’ll own first:

• Evaluation and testing for our agents

You'll own designing the eval harness, defining what "correct" means for a multi-step agent trajectory, building the regression gates that run before anything ships, and turning production failures into test cases. From there, the scope widens into retrieval, orchestration, and execution across the AI stack.

What you'll do:

• Own the evaluation layer for our agents — harnesses, metrics, golden datasets, regression gates, and human-in-the-loop review
• Architect and implement agent workflows using LangChain, LangGraph, or equivalent; state memory, routing, tools registries and recovery paths
• Own systems from experimentation through production and operate in production: tracing, monitoring, latency, cost-per-task budgeting, on-call for what you build
• Diagnose real production failures: hallucination, tool misuse, retrieval misses, silent degradation and turn each into a durable fix and a test
• Set the technical standard for agent work at Hilbert: review designs, define patterns others build on, and raise the bar across the team
• Collaborate closely with the founding team and cross-functional partners — communicating tradeoffs, progress, and technical decisions with clarity
• Make pragmatic engineering decisions under ambiguity — ship, learn, iterate

Our Current Hurdles:

• Intelligent retrieval across heterogeneous approaches
• Agentic workflows that solve real-world problems
• Evaluation beyond vibes
• Execution and real-world integration

Qualifications

• 4+ years of production software engineering: APIs, services, data infrastructure
• 2+ years building LLM or agent systems that shipped to production
• Hands on with LangChain, LangGraph, or equivalent agent/orchestration frameworks
• Strong communication skills
• Ownership mentality
• Ability to thrive in ambiguity
• Ability to move at startup speed

Requirements

• Retrieval-augmented generation (RAG) at depth
• Observability for LLM systems (Langfuse, OpenTelemetry, or equivalent)
• MCP, tool-calling frameworks, structured output and constrained decoding
• Experience at early-stage startups or high-growth environments

Benefits

• Competitive salary + equity package, commensurate with experience
• Performance-based bonuses tied to project milestones and customer impact

Company Description

At Hilbert, we move fast, work collaboratively, and give people real ownership over their impact. As a fast-growing company, there's no shortage of room to grow — you'll take on new challenges quickly and shape the path as you go.

Hilbert is an Equal Opportunity Employer. We are committed to building a diverse team and an inclusive culture, and we welcome applicants of all backgrounds.