Lead AI Developer

TELUS International

• $125K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software development experience.
  • 2+ years of hands-on experience with Generative AI/LLM application development.
  • Strong programming skills in Python (preferred) and/or Java.
  • Experience with LLM platforms like OpenAI, Azure OpenAI, or similar.
  • Knowledge in building applications with frameworks such as LangChain or Semantic Kernel.

Responsibilities

  • Design and develop AI-powered applications using Large Language Models (LLMs).
  • Build and optimize RAG pipelines and AI agent workflows.
  • Integrate AI services into enterprise applications and APIs.
  • Develop scalable backend services for AI solutions.
  • Collaborate with architects and business stakeholders to define AI use cases.

Benefits

  • Opportunity to work on cutting-edge AI technologies.
  • Collaborative environment with cross-functional teams.
  • Mentorship opportunities for professional growth.
  • Focus on security and compliance in AI implementations.
Full Job Description
About the Role

Job Summary

We are seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will have strong experience building Generative AI and LLM-based applications, integrating AI services into enterprise platforms, and developing scalable cloud-native applications. This role requires close collaboration with business stakeholders, architects, and engineering teams to deliver secure, production-ready AI solutions.

Required Skills
  • 7+ years of software development experience.
  • 2+ years of hands-on experience with Generative AI/LLM application development.
  • Strong programming skills in Python (preferred) and/or Java.
  • Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
  • Experience building AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
  • Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI agents.
  • Experience developing REST APIs using FastAPI, Flask, Spring Boot, or similar frameworks.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
  • Familiarity with SQL/NoSQL databases and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, etc.).
  • Strong debugging, analytical, and communication skills.

Responsibilities
  • Design and develop AI-powered applications using Large Language Models (LLMs).
  • Build and optimize RAG pipelines and AI agent workflows.
  • Integrate AI services into enterprise applications and APIs.
  • Develop scalable backend services for AI solutions.
  • Collaborate with architects, product owners, and business stakeholders to define AI use cases.
  • Optimize AI model performance, cost, and response quality.
  • Ensure security, governance, and compliance for AI implementations.
  • Participate in code reviews, testing, and production deployments.
  • Document AI solutions and mentor junior developers when needed.

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