AI Engineer | Alpha-Z

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.

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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 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.