AI Development & Programmatic Reasoning Specialist (AI Community)

TELUS International; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

TELUS Digital is seeking a Specialist in our Core Engineering & AI Development Community to push the Code-Gen revolution. You’ll audit CoT reasoning and guide AI across Python, JavaScript, Java, and C++. Responsibilities include code security auditing, multi-turn debugging design, NLP-to-code optimization, and benchmarking AI models for logic gaps.

Join TELUS Digital to shape how AI learns software engineering patterns and improve AI-driven development across modern tech stacks.

Qualifications

• Proficiency in Python, JavaScript, Java and C++ for algorithmic tasks.
• Strong understanding of coding best practices and design patterns.

Responsibilities

• Audit and refine Chain-of-Thought reasoning for coding tasks in Python, JavaScript, Java, and C++.
• Evaluate AI-generated code for security vulnerabilities and adherence to clean-code principles (SOLID, DRY).
• Design and test multi-turn debugging scenarios where AI identifies, explains, and fixes bugs in code blocks.
• Optimize NLP-to-Code translation to ensure prompts translate into correct, expected logic.
• Benchmark coding models and analyze logic gaps in handling libraries or frameworks.

Skills

Python

JavaScript

Java

C++

Job description

About the Role: At TELUS Digital, we are building the future of software development. As a Specialist in our Core Engineering & AI Development Community, you are the architect behind the "Code-Gen" revolution. Your mission is to push the boundaries of how Large Language Models (LLMs) understand logic, syntax, and architectural patterns. You will join an elite squad of developers tasked with training AI to solve complex algorithmic challenges, optimize legacy codebases, and master multiple programming languages. At TELUS, you aren't just writing code; you are teaching AI how to think like a Senior Engineer.

What You’ll Do (Key Responsibilities):

• Algorithmic Reasoning Validation: Audit and refine "Chain-of-Thought" (CoT) reasoning for complex coding tasks in Python, JavaScript, Java, and C++.
• Code Quality & Security Auditing: Evaluate AI-generated code for security vulnerabilities (e.g., SQL injection, buffer overflows) and adherence to clean-code principles (SOLID, DRY).
• Multi-Turn Debugging Strategy: Design and test complex multi-turn scenarios where the AI must identify, explain, and fix bugs in existing code blocks.
• NLP-to-Code Translation: Optimize the relationship between natural language prompts and functional code outputs, ensuring the AI captures subtle logic requirements.
• LLM Benchmarking: Execute and analyze performance benchmarks for coding models, identifying "logic gaps" in how the model handles specific libraries or frameworks.