Publié il y a 2 mois
AI Technical Lead (RAG, Agents & Microservices) | Onsite | Salary in Euros | Ontario Canada
@ HR Ways
Ontario
En bref
HR Ways is recruiting for an AI Technical Lead to drive architecture and evaluation for high-scale GenAI systems, including RAG pipelines, multi-agent frameworks and distributed inference. The role is onsite in Canada, full-time, with salary based on experience and 8+ years of experience required.
Responsabilités :
- Define end-to-end architectures for RAG pipelines, agent frameworks and inference environments
- Build custom evaluation harnesses and adversarial testing suites
- Enforce AI security, prompt-injection defenses and content-safety policies
- Direct token-economics and cost-latency optimization
- Establish engineering standards and mentor engineers
Résumé des exigences :
- 8+ years of experience
- Proven track record leading teams that shipped production ML/AI systems
- Deep understanding of transformers, embeddings and agent orchestration
- Strong distributed systems and GPU orchestration background
- Google Gemini Enterprise (GECX) experience is highly desirable
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- 2026-09-08
- Première détection par notre source
- 2026-10-27
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Développement logiciel |
| Expérience | 8 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
HR Ways
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
Job Title: Lead / AI Technical Lead (RAG, Agents & Microservices)
Location: Canada
About client:
A global IT and consulting company based in Bangalore, India, providing IT services to clients worldwide across multiple industries.
Position Overview
We are seeking a hands-on AI Technical Lead to drive the architectural vision, evaluation frameworks, and system execution for high-scale GenAI systems. In this role, you will lead the design of distributed inference setups, multi-agent frameworks, and advanced RAG architectures. You will balance deep technical execution—optimizing attention patterns, token economics, and AI security—with technical mentorship, setting engineering guardrails for production-grade AI systems.
Key Responsibilities
- Architectural Leadership: Define and evolve end-to-end architectures for scalable RAG pipelines, stateful agent frameworks, and distributed inference environments prioritizing deterministic outputs, low latency, and high availability.
- Evaluation & Testing: Build custom evaluation harnesses, domain-specific scoring functions, and adversarial testing suites to benchmark agent reasoning, RAG accuracy, and model safety beyond off-the-shelf metrics.
- Advanced AI Implementation: Incorporate modern AI paradigms into production, including structured reasoning, tool-use optimization, persistent memory systems, and multi-agent collaboration protocols.
- AI Security & Governance: Enforce prompt-injection defenses, zero-trust agent routing, jailbreak prevention, and strict content-safety policies for auditability in regulated environments.
- Cost & Performance Optimization: Direct token-economics strategies—optimizing context-packing, token usage, and hardware constraints to manage cost-latency trade-offs.
- Mentorship & Standards: Establish engineering standards, code review protocols, and architectural guardrails across teams while coaching engineers on safe deployment and UX-aligned AI patterns.
Required Qualifications
- Proven AI Leadership: Demonstrated track record of leading technical teams and successfully architecting and shipping production-grade ML/AI systems.
- AI Foundations: Deep technical understanding of transformer internals (attention mechanisms, tokenization), vector mathematics, embedding spaces, agent orchestrations, and evaluation science.
- Distributed Systems Experience: Strong background in systems-level programming, concurrent systems, sharding, load balancing, and GPU orchestration.
- Ecosystem Expertise: Hands-on knowledge of Google Gemini Enterprise for Customer Experience (GECX) solutions or similar enterprise AI agent suites is highly desirable.
Core Competencies
DomainKey Focus Areas
System ArchitectureDistributed AI Systems, Multi-Agent Frameworks, High-Availability Inference Clusters
LLM InternalsTransformer Architecture, Attention Patterns, Tokenization, Inference Optimization
Evaluation & SecurityCustom Evaluation Harnesses, Adversarial Testing, Prompt-Injection Defense, Zero-Trust Routing
LLMOps & InfraGPU Orchestration, CI/CD for AI Models, Tracing, Telemetry, Containerization
Governance & QualityTokenomics Optimization, Content-Safety Guardrails, Technical Mentorship, Code Quality Standards
Experience: 8 + Years
Location: Canada
Work Mode: Onsite
Salary Range: Based on Experience
About HR Ways:
"HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel https://whatsapp.com/channel/0029VamSiLr5fM5fMtAdCS2M to stay updated or visit www.hrways.co to know more."
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