AI Research Scientist

Job Responsibilities Build LLM-based systems and pipelines for problem understanding, model formulation, and code generation. Design and run experiments, benchmarks, and error analysis to improve system reliability and scalability. Translate technical research into working prototypes and production-ready features. Collaborate with the team on decision-support applications for enterprise clients. Job Requirements Bachelor’s or Master’s in Computer Science, Operations Research, Math, Data Science, AI, or a related field. Strong programming ability with a focus on clean, modular, and reliable code. Solid mathematical background, specifically in optimization problem solving. Ability to work independently in a fast-paced start-up environment with evolving priorities. Excellent communication skills for discussing technical concepts with cross-functional teammates. Technical Expertise Optimization & Modeling Experience with LP, MIP, NLP, or constraint programming. Ability to translate business problems into mathematical models (variables, objectives, constraints). Familiarity with solvers like Gurobi, CPLEX, SCIP, or OR-Tools. Understanding of solver behavior, computational bottlenecks, and model debugging. Experience with practical problems such as routing, scheduling, or resource allocation. Engineering & AI Expertise in code structure, testing, logging, and building reproducible experiment pipelines. Ability to integrate AI components with external tools, APIs, and enterprise systems. Strong judgment on system performance, scalability, and failure handling. Knowledge of LLM workflows (prompting, retrieval, agents), machine learning evaluation, and structured code generation.