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Описание вакансии
Текст:
TL;DR
Technical Lead (GenAI/Python): Building production-grade backend services and agentic AI applications for cyber, risk, regulatory, control, and security domains with an accent on Django or FastAPI, distributed workflows, API security, and Kubernetes deployment. Focus on productionizing LangChain/LangGraph agents, integrating RAG and multi-agent systems, optimizing LLM performance and costs, and implementing observability and secure coding practices in a regulated banking environment.
Location: Toronto, Ontario, Canada; onsite at 16 York Street
Company
A major banking organization delivering financial services in a regulated environment.
What you will do
- Build and deploy backend services for GenAI and agentic AI applications using Python, Django or FastAPI, and Celery.
- Productionize LangChain and LangGraph prototypes into reliable backend applications for cyber, risk, regulatory, control, and security domains.
- Deploy and operate containerized applications on OpenShift and Kubernetes through CI/CD pipelines.
- Develop secure RESTful APIs with OAuth2/JWT authentication, rate limiting, input validation, and regulated-bank security controls.
- Integrate RAG, MCP, A2A, multi-agent systems, and LLM-powered workflows while optimizing latency, token costs, caching, orchestration, and observability.
- Write unit and integration tests, participate in code reviews, mentor engineers, and collaborate with product, data science, and business stakeholders.
Requirements
- 5+ years of software engineering experience with strong Python proficiency and at least 2 years building backend services with Django, FastAPI, or a comparable framework.
- Hands-on experience with Celery or similar asynchronous task-processing systems for long-running or distributed workloads.
- Strong knowledge of API security, including OAuth2, JWT, authorization, rate limiting, input validation, and secure API design.
- Experience operating containerized applications on Kubernetes or OpenShift and using CI/CD pipelines.
- Familiarity with RAG, agents, agent orchestration, MCP, A2A, multi-agent systems, and AI observability tools such as OpenTelemetry, Langfuse, or LangSmith.
- Ability to work onsite in Toronto, Canada.
Nice to have
- Experience with PostgreSQL, Redis, vector databases, Vue.js, or React.
- Exposure to OpenAI, Anthropic Claude, Cohere, Llama, prompt and context engineering, and LLM cost optimization.
- Familiarity with Grafana, Prometheus, SAST, DAST, and secure coding practices.
Culture & Benefits
- Full-time regular salaried employment with a comprehensive total rewards program.
- Bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.
- Coaching, development support, and opportunities to take on greater responsibility.
- Collaborative, progressive, and high-performing work environment.
- 37.5-hour work week.
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