Senior AI Engineer

About Gurobi Optimization

A mission that focuses on mathematical optimization. We empower our customers to expand their use of mathematical optimization technology to make smarter decisions and solve some of the world's toughest and most impactful business problems.

Role Overview – Senior AI Engineer

You will enhance our platform's diverse components and services with AI Agents and Machine Learning. As part of the Gurobi Platform Team, you will work on the Gurobi SaaS Instant Cloud, Compute Server, User Portal, and the Gurobot Expert Agent, shaping the future AI capabilities of the Gurobi Intelligence framework.

Responsibilities

• Design and implement AI agents that facilitate the full development cycle of optimization applications, leveraging Gurobi optimization expertise and best practices.
• Architect and maintain integration of optimization components (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 across AI systems and products.
• Develop and refine prompt and context engineering strategies for production AI systems.
• Participate in quality testing of AI features by designing test cases and evaluations.
• Troubleshoot AI feature quality and performance issues; serve as escalation contact for service incidents related to AI features.
• 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 software developers and QA engineers on the Platform team following agile methodology, contributing both individually and as part of a team.

Experience & Qualifications

• 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 degree in Computer Science or a related technical field, or equivalent professional experience.
• Fluent in English.

Skills, Abilities & Behaviors

• 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.

Additional Requirements

• Awareness of responsible AI practices (output safety, guardrails, AI governance); familiarity with the OWASP Top 10 for LLMs is beneficial.
• Prior experience with CI/CD pipeline development is advantageous.
• Experience with ML frameworks (MetaFlow, MLFlow, DVC, Kubeflow, LakeFS) is advantageous.
• Good understanding of container technology (Docker) is beneficial.
• Prior engagement with agile methodologies (e.g., Scrum) is advantageous.

Alignment with Gurobi Core Values

• Customer Focus: Verbal and 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: Commitment to honesty as a compass and conducting all business practices with an ethical mindset and fiscal