Forward Deployed Engineer, AI & Trading
bp
Chicago, ILFresher1h agovia LinkedIn
Posted 13 Nov 2026, 19:04 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- SQLREST APIsCI/CDLLMsAWSCybersecurity
- Nice to have
- Python
- Work
- On-site in Chicago
- Pay
- Not stated by the employer.
- Skill demand
- CI/CD32%REST APIs27%LLMs22%SQL16%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
- As a Forward Deployed Engineer, you'll work alongside traders and commercial teams to turn ideas into reliable AI-enabled tools.
- You'll combine hands-on engineering with close user collaboration, rapidly developing solutions and taking successful prototypes through to secure, production-ready capabilities.
- You'll join a global engineering network across Chicago, Houston, London and Singapore, while providing close support to your regional trading teams.
Key Responsibilities
- Turn promising ideas into trusted tools that people use.
- Faster delivery of useful AI-enabled capabilities.
- Strong adoption among trading teams.
- Reliable and well-supported production tools.
- Reusable solutions that benefit teams across locations.
- Clear improvements in efficiency, insight or decision support.
Requirements & Tech Stack
- Experience in software, data, AI or quantitative engineering.
- Hands-on experience with APIs, cloud services, SQL or data stores, version control, testing and CI/CD.
- Experience taking solutions from early concepts or prototypes through to reliable production use.
- Experience evaluating LLM-based tools: measuring whether outputs are correct, grounding answers in trusted data, and catching failures before users do.
- Understanding of secure engineering, access controls, monitoring and operational resilience.
- Practical experience with generative AI, agentic systems or LLM-based applications.
- Strong Python, plus experience in software, data, AI or quantitative engineering.
- Strong communication skills and the ability to work across commercial and technical teams.
- An adaptable approach and confidence working in a fast-moving environment.
- Experience with AWS, containers, infrastructure-as-code or observability tools is helpful.
- Familiarity with MCP, event-driven architectures or reusable integration services is helpful.
- Knowledge of market data, trading controls, AI governance or information security is helpful.
- Experience working with trading, origination, quantitative or front-office teams is helpful.
- Experience creating engineering approaches or tools that have been adopted across multiple teams is helpful.
Qualifications
- Experience in commodities, financial markets, trading or another commercially critical environment would be valuable, but isn't essential.
Salary
- $167,000.00 - $253,000.00 USD Annually
Work Environment
- Hybrid of office/remote working
- Travel Requirement: Some travel may be required, negotiable.