AI Technical Lead
Offre en anglaisLead the end-to-end architecture for RAG pipelines and agent frameworks while ensuring scalability and latency optimization. Develop custom evaluation harnesses and mentor developers on AI security and deployment practices.
- Sur place
- Toronto, ON
- Publié 5 août 2026
- Postuler avant le 4 sept. 2026
- 1 poste
Résumé du poste
Title: AI Technical Lead Location: Onsite at any nearby Infosys office Job Type: 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. 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 Thanks Aatmesh aatmesh.singh@ampstek.com
Ce que vous ferez
Lead the end-to-end architecture for RAG pipelines and agent frameworks while ensuring scalability and latency optimization. Develop custom evaluation harnesses and mentor developers on AI security and deployment practices.
Exigences
Requires over 5 years of experience leading teams and architecting complex AI systems in production. Candidates should have hands-on experience with FastAPI, structured extraction, and advanced prompting techniques.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- AI Architecture
- RAG Pipelines
- Agent Frameworks
- Distributed Inference Systems
- LLM Reasoning
- FastAPI
- Pydantic
- JSON Schemas
- Advanced Prompting
- AI Security
- Token-economics
- Multi-agent Collaboration
Domaines d’emploi
- Software
- Technology
- Management & Leadership
- Data & Analytics
- 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
- Director
- Mode de candidature
- La candidature directe est offerte