Staff Gen AI Developer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Staff Gen AI Developer (AI): Building and scaling production-grade AI systems for Sales Performance Management with an accent on reliability, scalability, and GenAI-powered features. Focus on designing end-to-end AI components, implementing evaluation frameworks, and optimizing LLM performance in production.
Location: Toronto, Ontario, Canada (Remote and Hybrid options available)
Salary: $145,440.00 - $190,800.00 CAD
Company
provides cutting-edge SaaS solutions for Sales Performance Management, empowering revenue leaders globally to optimize go-to-market strategies.
What you will do
- Own the end-to-end delivery of significant AI-enabled features and systems, from design to production.
- Build and maintain scalable services, APIs, and workflows that support GenAI features.
- Define and automate quality metrics, test strategies, and evaluation approaches for AI components.
- Run structured experiments and translate results into tangible product improvements.
- Improve operational readiness through deployment automation, monitoring, and cost optimization.
- Mentor and guide other engineers through design feedback, code reviews, and technical leadership.
Requirements
- 6+ years of software engineering experience, with 3+ years building production systems in product teams.
- Proficiency in Python and/or TypeScript, and experience building APIs and data pipelines.
- Strong fundamentals in system design, distributed systems, and scalable architecture.
- Experience with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.
- Experimentation mindset with the ability to define metrics and iterate in ambiguous spaces.
- Must be based in Toronto, Ontario, Canada.
Nice to have
- Hands-on experience with prompt engineering, RAG, embeddings, tool calling, or fine-tuning.
- Familiarity with LLMOps practices (experiment tracking, prompt versioning).
- Experience with LangChain, LangGraph, OpenAI, Anthropic, or vector databases like Pinecone, FAISS, or Milvus.
- Contributions to open source, technical blogs, or conference talks.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage tailored to local needs.
- Flexible work environment with remote and hybrid options.
- Dedicated learning (Ignite Days) and tuition assistance for professional growth.
- Paid Time Off (PTO), public holidays, and dedicated volunteer days.
- Retirement plans to support long-term financial security.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β