Research Engineer AI Engineer

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

The Role

We are seeking somebody with a background in building AI and intelligent systems at the intersection of Large Language Models (LLMs) and Operations Research (OR).

You will develop AI that understands business problems formulates optimization models and interacts with solvers to support real-world applications. This role balances research (developing new ideas) with engineering (building robust prototypes and product features).

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.

Requirements

Bachelors or Masters 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

1. 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.

2. 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.

Tokka Labs does not accept unsolicited resumes.

Any form of candidate introduction shared without the prior approval of the talent acquisition team will be deemed free to contact by Tokka Labs without restriction or liability. No placement fee of any kind will be paid in the event the identified candidate is hired by Tokka Labs.

Required Experience:

The RoleWe are seeking somebody with a background in building AI and intelligent systems at the intersection of Large Language Models (LLMs) and Operations Research (OR). You will develop AI that understands business problems formulates optimization models and interacts with solvers to support real-...