Senior AI Engineer (USA - Remote)

At Gurobi Optimization, we're on a mission!   

A mission that focuses 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. We're looking for passionate, dedicated, innovative game-changers to join our team and drive the future of Gurobi.

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. 

• 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. Be an escalation contact for service incidents related to AI features to help our support team when necessary. 
• Serve as an internal AI subject matter expert, evaluating use cases across teams and providing technical guidance and recommendations on AI applicability and approach. 
• Collaborate with a team of software developers and QA engineers of the Platform team following our agile methodology. The role involves a substantial amount of teamwork and individual contribution. 

• 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. 

• 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. 

• 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. 
• Prior experience with ML frameworks (MetaFlow, MLFlow, DVC, Kuberflow, LakeFS) would be advantageous. 
• Good understanding of container technology (Docker) would be beneficial. 
• Prior engagement with agile methodologies, such as Scrum, would be advantageous. 

• Customer Focus: Verbal & written communication skills that bring clarity and build trust. 
• Power of the Team: Motivated with a team-oriented mindset that aims to both inspire and be inspired by others. 
• Innovation: The courage to bring ideas forward and see yourself as an integral part of our global team.  
• Dedication: Organized and agile, focusing on meeting professional objectives while promoting a healthy work/life balance.  
• Integrity: Promise to uphold honesty as your compass and conduct all business practices with an ethical mindset and fiscal responsibility.