Staff Generative AI Engineer
Background
We are looking for a Staff Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services.

As a senior individual contributor, you will bring deep technical expertise, drive high-quality engineering practices, and serve as a mentor for junior to mid-level engineers. You will work closely with software engineers, data scientists, and product teams to translate business problems into production-grade AI applications and services.

Key Responsibilities
Application and Solution Engineering

Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users

Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability

Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries

Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK

Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock

Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking

Build clean, well-tested RESTful and/or gRPC APIs with a robust focus on reliability, security, and performance

Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications

Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services





Contribute to platform architecture decisions and engineering best practices

Take applications from prototype through production deployment, hardening, and ongoing operation

Mentor and coach junior and mid-level engineers through code reviews, architecture discussions, and pair programming

Foster a culture of engineering excellence, knowledge sharing, and continuous improvement

Participate in technical design reviews and contribute to the professional growth of team members

Mentorship and Team Development
Required Qualifications

8-15 years of professional software engineering experience with at least 3-5 years of experience building AI/ML software products

Bachelor's degree in Computer Science or a related field (Master's degree preferred)

Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)

Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows

Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock

Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)

Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure

Strong understanding of API design, distributed systems, and cloud-native architecture

Proven track record of taking systems from design through production deployment and operation

Preferred Qualifications

Experience with containerization and orchestration (Docker, Kubernetes)

Knowledge of Generative AI Risk Management frameworks (NIST RFM)

Experience supporting developer platforms or internal tooling

Experience writing design documents or helping define engineering standards

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📌 Lead GenAI Engineer (Ontario)
🏢 Inizio Partners
📍 Ontario