AI Research Scientist (Full-time)

Alpha Z; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Alpha Z is seeking an engineer to build LLM-based systems and pipelines for problem understanding, model formulation, and code generation.

You will design experiments, benchmarks, and error analysis to improve reliability, and translate research into production-ready features. Collaborate on enterprise decision-support apps for clients.

Qualifications

• Bachelor's or Master's in CS, OR, Math, Data Science, AI, or related field.
• Strong programming skills focused on clean, modular, reliable code.
• Solid mathematical background in optimization problem solving.
• Ability to work independently in a fast-paced startup environment with evolving priorities.
• Excellent communication skills for discussing technical concepts with cross-functional teammates.

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.

Skills

Strong programming

Optimization math

Independent work

Communication

Education

Bachelor's or Master's in Computer Science, Operations Research, Math, Data Science, AI, or related field

Tools

Gurobi

CPLEX

SCIP

OR-Tools

Job description

What you'll do.

• 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.

What we look for.

• 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 startup 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.