GenAI Engineer
ehw partnersHouston (TX)
About the role
EHW Partners is working with a leading global energy and commodities trading firm to hire aGenAI Engineerin Houston who will build agentic workflows, AI skills, MCPs, and LLM-powered automation tools across trading, operations, and commercial functions.
This is a highly collaborative, build-first engineering role. The successful candidate will work directly with end users and internal stakeholders to identify automation opportunities, rapidly prototype solutions, and deploy practical AI products that create real commercial value.
The ideal candidate will have:
3–5 years of experience in software, data, or AI engineering
Strong Python skills and solid software-engineering fundamentals
Experience building with LLM APIs, prompting, tool calling, function calling, agentic workflows, or MCP
Familiarity with full-stack development, Git, Docker, and cloud platforms
Strong product judgment and the ability to translate ambiguous business needs into working tools
Clear communication skills and comfort working closely with non-technical end users
A builder mindset, with evidence of shipped products or side projects
Curiosity about commodities markets, energy, global trade, and the commercial dynamics of trading
This is a high-ownership opportunity for an engineer who enjoys working closely with end users, moving quickly from idea to production, and applying frontier AI capabilities to real-world problems in energy and commodities.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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