AI Technical Lead/ AI Developer / Data Engineer
Offre en anglaisThe role involves defining the end-to-end architecture for RAG pipelines and agent frameworks while ensuring scalability and latency. It also requires building custom evaluation harnesses and mentoring developers on AI security and deployment practices.
- Sur place
- Ontario
- Publié 5 août 2026
- Postuler avant le 4 sept. 2026
- 1 poste
Résumé du poste
Job Role : AI Technical Lead/ AI Developer / Data Engineer Location : Toronto, ON / Mississauga, ON/Ottawa, ON /Calgary, Alberta/Vancouver, BC / Burnaby, BC Long Term Contract Job Description: Role: AI Technical Lead 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. AI developer :- Strong software engineering fundamentals with intermediate Python. Desired skills: Experience building transparent AI systems using standard libraries and HTTP clients, Hands-on FastAPI server development, Experience with structured extraction (JSON schemas, Pydantic) and advanced prompting
Ce que vous ferez
The role involves defining the end-to-end architecture for RAG pipelines and agent frameworks while ensuring scalability and latency. It also requires building custom evaluation harnesses and mentoring developers on AI security and deployment practices.
Exigences
Candidates must have 5+ years of experience leading AI teams in production environments or strong software engineering fundamentals with Python. Desired skills include experience with FastAPI, structured extraction using Pydantic, and advanced prompting techniques.
Compétences indiquées
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- AI Architecture
- RAG Pipelines
- Agent Frameworks
- Distributed Inference Systems
- Python
- FastAPI
- JSON Schemas
- Pydantic
- Advanced Prompting
- LLM Reasoning
- AI Security
- Token-economics
Domaines d’emploi
- Software
- Data & Analytics
- Technology
- Engineering
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 4 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte