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.