AI Technical Lead/Developer
Lead the end-to-end architecture for RAG pipelines, agent frameworks, and distributed inference systems. Establish coding standards and mentor developers on AI security and safe deployment practices.
- On-site
- Canada
- Posted Aug 5, 2026
- 1 position
Job summary
Hi , Hope you are doing great! We have the below urgent position with my client. Please reply if you are interested Job Role : AI Technical Lead Location : Toronto, ON / Mississauga, ON/Ottawa, ON /Calgary, Alberta/Vancouver, BC / Burnaby, BC Long Term Contract Job Description: • Architectural Leadership: Define and evolve the end-to-end architecture for RAG pipelines, agent frameworks, and distributed inference systems. Prioritize scalability, latency, and UX-aligned output determinism. • Rigorous Evaluation: Build custom evaluation harnesses for AI agents, RAG, and LLM reasoning. Move beyond out-of-the-box metrics with domain-specific scoring, adversarial tests, and regression suites. • Advanced AI Paradigms: Continuously integrate cutting-edge methodologies (structured reasoning, tool-use optimization, memory systems, multi-agent collaboration). • Technical Mentorship: Coach developers on AI security, token-economics, UX patterns, and safe deployment practices. Establish coding standards and architectural guardrails Mandatory skills : AI Technical Lead :- 5+ years with a track record of leading teams and architecting complex AI systems in production environments. Candidates should have deep technical expertise and leadership skills. Thanks, and Regards Saurabh Kumar | Team Lead saurabh.yadav@ampstek.com | www.ampstek.com https://www.linkedin.com/in/saurabh-kumar-yadav-518927a8/ Call to : +1 609-360-2671
What you’ll do
Lead the end-to-end architecture for RAG pipelines, agent frameworks, and distributed inference systems. Establish coding standards and mentor developers on AI security and safe deployment practices.
Requirements
Requires over 5 years of experience leading teams and architecting complex AI systems in production environments. Candidates must possess deep technical expertise in advanced AI paradigms and leadership skills.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AI Architecture
- RAG Pipelines
- Agent Frameworks
- Distributed Inference Systems
- LLM Reasoning
- AI Security
- Token-economics
- Multi-agent Collaboration
- Technical Mentorship
- AI Evaluation
Job areas
- Software
- Technology
- Engineering
- Management & Leadership
- Consulting
Additional details
- Minimum experience
- 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
