AI Tech Lead (LLM / Python / RAG / LangChain)

Job Description – AI Tech Lead (LLM / Python / RAG / LangChain)

Job Title: AI Tech Lead – LLM / Python / RAG / LangChain

Location: Ontario

Duration: Long-Term Contract

Job Summary

We are seeking an experienced AI Tech Lead to lead the design, development, and implementation of enterprise-grade Generative AI and LLM solutions . The ideal candidate will have strong hands-on expertise in Python, LLMs, RAG, LangChain , and AI application development, along with proven experience leading technical teams and delivering scalable AI solutions.

Key Responsibilities

• Lead the architecture, design, and implementation of AI/LLM solutions across enterprise projects.
• Design and optimize scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
• Develop and integrate AI applications using LangChain, LLM frameworks, and Python .
• Evaluate and implement LLMs, embeddings, vector databases, prompt engineering, and AI agents.
• Define best practices for LLM application development, RAG architecture, evaluation, and optimization .
• Collaborate with business, product, data, and engineering teams to translate business requirements into AI solutions.
• Lead technical discussions, solution design, code reviews, and architectural decisions.
• Mentor developers and guide teams in adopting Generative AI and emerging AI technologies .
• Ensure AI solutions are scalable, secure, reliable, and production-ready.
• Troubleshoot performance, accuracy, latency, and scalability challenges in AI applications.

Required Qualifications

• Strong hands-on experience with Python programming.
• Proven expertise in Generative AI, LLMs, RAG, and LangChain .
• Experience designing and implementing enterprise-scale RAG pipelines and LLM applications .
• Strong understanding of prompt engineering, embeddings, vector databases, and LLM evaluation .
• Experience with AI/ML frameworks and APIs such as OpenAI, Azure OpenAI, Hugging Face, or similar platforms .
• Experience working with cloud platforms such as Azure, AWS, or GCP .
• Strong software engineering, architecture, and problem-solving skills.
• Proven experience providing technical leadership and mentoring development teams .
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience delivering AI solutions within large-scale enterprise environments.
• Knowledge of AI agents, tool calling, function calling, and Agentic AI .
• Experience with enterprise security, governance, and responsible AI practices.
• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.