AI Engineer

United States·San Diegomid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

agents, tools, ontology generation, memory, retrieval, and evaluation. This is not a model-training role. The work is agent architectures, semantic retrieval, knowledge representation,

Technical Tools

Machine Learning EngineerData

HMBL is your premiere Talent Partner and Executive Search Solution. We were founded on the fact that technical recruiting is most fruitful via partnership --than it is transactional.

We partner the most innovative, cutting-edge tech companies. HMBL stances its foundational values around transparency, overcommunication, and the desire to improve. We leverage best industry practices, historical and predictive data and AI to acquire the industry's top 5% of technical talent.

Are you passionate about making the impossible possible? Are you interested in working with the best and brightest in the tech industry? Do you want to work on the front-lines of innovation?

We have what you're looking for!

Stay hungry. Stay HMBL.

We are looking for engineers excited about building long-lived AI systems, not chatbots. As a Founding AI Systems Engineer, you own the AI core of the platform: agents, tools, ontology generation, memory, retrieval, and evaluation. This is not a model-training role. The work is agent architectures, semantic retrieval, knowledge representation, enterprise data systems, decision intelligence, and autonomous learning from operational exhaust: the workflow steps, approvals, log entries, and data changes an enterprise produces as it runs.

Above all, you build in an LLM-first, reasoning-first way. Nearly everything you ship should make the platform a little more self-improving, the way Anthropic let Claude Code help write Claude Code.

Nice to Have

~1 min read

Working familiarity with core enterprise business processes (Quote-to-Cash, Procure-to-Pay, Hire-to-Retire) and ERP data, enough to understand what the platform is reasoning about.

Semantic modeling, metadata systems, or business-context modeling experience.

Deep familiarity with enterprise integrations (SAP, Oracle, ServiceNow, Salesforce, Snowflake, Databricks).

Prior founding-engineer or very-early-startup experience.

Equal Opportunity Employer:

We are an equal opportunity employer and value diversity at our company. We prohibit any form of workplace discrimination based on race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities