About Alpha-Z
Alpha-Z specialises in building AI for complex decision-making and problem solving. Built for human judgement, our AI supports the decision process whilst our people provide domain expertise and final approval. We build workable strategies from messy context to structured plans across markets and industries.
Learn more at: www.alpha-z.io
Responsibilities
- Build systems that integrate LLMs, optimization solvers, data processing, code execution, and user-facing workflows.
- Develop backend services, APIs, task execution modules, data pipelines, and system components.
- Build frontend interfaces, demos, dashboards, and interactive workflows for users.
- Implement LLM-based workflows for problem understanding, code generation, debugging, result explanation, and user interaction.
- Integrate optimization tools and solvers such as Gurobi, CPLEX, Pyomo, OR-Tools, CVXPY, or related frameworks.
- Build safe and controllable environments for generated code execution, testing, and validation.
- Support end-to-end product development, from requirement understanding and technical design to implementation, testing, deployment, and iteration.
- Improve system reliability, usability, maintainability, scalability, and performance.
- Work closely with research and business teams to translate technical ideas into products.
Preferred Background
- Strong software engineering skills and hands-on development experience.
- Strong programming ability.
- Experience with backend development, API design, databases, asynchronous tasks, testing, debugging, and deployment.
- Familiarity with tools such as FastAPI, Flask, Django, Node.js, React, TypeScript, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, cloud services, or CI/CD tools is a plus.
- Experience with LLM tools and AI-assisted coding tools such as ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, LangChain, LlamaIndex, OpenAI API, Anthropic API, or related tools.
- Ability to use LLMs in the loop for coding, debugging, testing, refactoring, documentation, and rapid prototyping.
- Experience with optimization, operations research, data analytics, or machine learning engineering is a plus.
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.