Senior AI Engineer

At Gurobi Optimization, we're on a mission focused on mathematical optimization. We empower our customers to expand their use of mathematical optimization technology in order to make smarter decisions and solve some of the world's toughest and most impactful business problems.

As a Senior AI Engineer at Gurobi Optimization, you will have the technical depth, rigor and initiative to enhance our platform's diverse components and services with AI Agents and Machine Learning. In this role, you will become an integral part of the Gurobi Platform Team, a team responsible for overseeing critical elements including the Gurobi SaaS Instant Cloud, the Gurobi Compute Server, the Gurobi User Portal, and the Gurobot Expert Agent. Your expertise and contributions will play a pivotal role in shaping the future AI capabilities of the Gurobi Intelligence framework.

What will you be doing?

• Design and implement AI agents facilitating the full development cycle of optimization applications with a focus on leveraging Gurobi optimization expertise and best practices.
• Architect and maintain the integration of optimization components, including Gurobi's solver and related libraries, into AI features of existing and new products.
• Partner with cross-functional teams (AI Innovation Lab, Optimizer team, Experts, Product Management, Marketing) to align on AI feature requirements, gather domain knowledge, and ensure best practices are reflected across AI systems and products.
• Develop and refine prompt and context engineering strategies for production AI systems.
• Participate in the quality testing of AI features by designing test cases and evaluations.
• Troubleshoot AI feature quality and performance issues.
• Serve as an internal AI subject matter expert.
• Collaborate with a team of software developers and QA engineers of the Platform team following our agile methodology.

What experience and qualifications should you have?

• 5+ years of experience as a software engineer.
• 2+ years of hands-on experience with prompt engineering, knowledge base management, or machine learning application development.
• 2+ years of hands-on experience developing mathematical optimization applications.
• Bachelor's in Computer Science or related technical field or equivalent professional experience.
• Fluent in English.

What skills, abilities, and behaviors should you have?

• Proficient with at least one programming language such as Python, Node.js or Go.
• Good understanding of generative AI agents including prompt and context engineering, orchestration, vector databases, and RAG architecture.
• Prior experience with one or more AI platforms (Anthropic, AWS Bedrock, OpenAI, Agentforce), AI protocols (MCP, A2A), and AI orchestration frameworks (LangChain, LangGraph, Strands or custom).
• Solid understanding of machine learning concepts and applications, including reinforcement learning techniques.
• Strong understanding of mathematical optimization concepts and experience modeling or solving optimization problems.

Other

• Awareness of responsible AI practices, including output safety, guardrails, and AI governance, with familiarity with the OWASP Top 10 for LLMs would be beneficial.
• Prior experience with CI/CD pipelines development would be advantageous.