Location: Austin, Tx, United States
Organization: InCommodities North America
Application deadline: We’ll review applications on an ongoing basis, so don’t wait too long to send yours
Build production-grade AI systems that turn market ideas into execution-ready strategies.
We are actively building AI into the firm's core infrastructure, not as an experiment but as a structural advantage for our traders and quants. Our tech setup covers the full execution path – from market data and quantitative strategy to order routing on TT and ICE.
Now, we’re pushing further.
We’re connecting frontier AI models directly to our trading infrastructure, and we’re looking for someone who knows how to make that work in production. Not prototypes. Not chatbots. Real systems that make decisions, call tools, and deliver outputs other systems depend on.
What you’ll do
- You’ll design and build agentic AI systems that operate reliably in production environments
- You’ll create workflows where AI agents manage context, call tools, and make decisions across complex tasks
- You’ll build context management and retrieval pipelines so models have the right data at the right time
- You’ll orchestrate multi-step workflows – from code generation and backtesting to execution integration
- You’ll integrate AI systems with internal APIs, market data, and quantitative tools
- You’ll ensure production readiness with solid testing, monitoring, and error handling
- You’ll collaborate closely with traders, quants, and engineers to turn market ideas into testable strategies
Your Team
You’ll join a small, focused team working at the intersection of AI, trading, and infrastructure. We move fast, test ideas quickly, and build systems that go straight into real-world use. You’ll have direct access to the people and systems that drive decisions – and the autonomy to shape how we use AI in trading.
What you bring
- You’ve built AI systems that run in production – not just prototypes
- You have experience with agent-based systems using tool calling, orchestration, or multi-step reasoning
- You’ve worked with retrieval-augmented generation connected to real data pipelines
- You understand context management, prompt design at the system level, and model integration patterns
- You write clean, maintainable code that others can build on
- You’re comfortable working across languages and systems – whether it’s Python, .NET, or something else
- You’re fluent in English, written and spoken
How you work
- You take ownership and build things that last
- You focus on reliability – because your systems don’t just run, they’re depended on
- You think in systems, not just components
- You’re curious, hands-on, and not afraid to challenge how things are done
- You collaborate closely and value strong, direct feedback
What you can expect from us
You’ll get a front-row seat in rethinking how AI is used in energy trading, building systems that go straight into production and directly shape trading decisions. We offer real autonomy in a flat, no-fluff organization where trust and ownership go hand in hand. You’ll be part of a fast-paced, tech-driven environment with strong domain expertise, working alongside bold, honest colleagues who take pride in what they build. And you’ll have the opportunity to push the boundaries of EnergyTech – we call it Rethink Energy Trading.