AI Development & Programmatic Reasoning Expert (AI Community)

Job Summary

The Software Engineering AI Specialist evaluates and refines LLM code generation across Python, JavaScript, Java, and C++. This specialist audits Chain-of-Thought algorithmic reasoning, reviews AI code for security vulnerabilities and clean-code principles, designs multi-turn debugging workflows, and benchmarks LLM performance across technical frameworks.

Key Roles & Operational Responsibilities

1. Algorithmic Reasoning & Chain-of-Thought (CoT) Validation

• Logic Auditing: Review, score, and refine step-by-step "Chain-of-Thought" reasoning generated by LLMs when solving complex coding and algorithmic problems.
• Multi-Language Coverage: Evaluate logic and execution across primary languages including Python, JavaScript, Java, and C++.

2. Code Quality, Security & Architecture Auditing

• Vulnerability Auditing: Inspect AI-generated code for security flaws, such as SQL injections, buffer overflows, memory leaks, and cross-site scripting (XSS).
• Clean Code Standards: Ensure model output adheres strictly to clean-code principles (SOLID, DRY, object-oriented patterns, and modular design).

3. Multi-Turn Debugging & Prompt Engineering

• Debugging Workflows: Design and test complex multi-turn prompt scenarios where the model must identify root causes, explain bugs clearly, and refactor existing code blocks.
• NLP-to-Code Optimization: Refine the mapping between natural language user prompts and generated code to ensure subtle logical requirements are captured accurately.
• LLM Benchmarking: Execute performance benchmarks to identify "logic gaps" and failure modes in how models handle specific libraries, APIs, or architectural patterns.

Foundational Capabilities & Prerequisites

Core Technical Experience

• Programming Mastery: Strong proficiency in one or more core languages: Python, JavaScript, Java, or C++.
• Software Architecture: Solid understanding of algorithm design, data structures, object-oriented design (SOLID), and clean architecture principles.
• Security & Code Review: Ability to identify code vulnerabilities, performance bottlenecks, and edge-case errors.
• LLM & AI Curiosity: Passion for generative AI, prompt engineering, and training models to produce production-grade code.

Additional Listed Qualifications (As per posting)

• Language Proficiency: Native-level fluency in primary language + minimum B1 (Intermediate) English proficiency.
• Analytical Skills: High attention to detail for evaluating complex digital outputs and logical structures.
• Educational Background: Degree in Computer Science, Software Engineering, Cybersecurity, or related technical fields.

What TELUS Digital Offers

• Competitive Hourly Pay: Rates ranging from $18 to $50 USD per hour, depending on expertise and assigned project tier.
• 100% Remote Flexibility: Work on your own schedule from anywhere in the world.
• Cutting-Edge AI Work: Direct involvement in training state-of-the-art LLMs to think and code like Senior Engineers.

Skills Required:

• Computer / Software / It / Data