Senior AI Back-End Engineer (Python)
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Описание вакансии
TL;DR
Senior AI Back-End Engineer (Python): Building and scaling agent-powered backend services for an AI platform with an accent on multi-agent workflows, RAG implementations, and LLM integration. Focus on designing robust, model-agnostic architectures, optimizing high-concurrency Postgres access, and ensuring system observability.
Location: Must be based in Canada. Remote work requires daily overlap of at least 09:00 – 13:00 EST.
Salary: $90,000 – $130,000 annually.
Company
is a long-standing digital identity authority helping businesses secure domains, protect brands, and manage their online presence through AI-accelerated tools.
What you will do
- Design and scale async REST/WebSocket APIs using Python and FastAPI.
- Implement multi-agent workflows using Semantic Kernel to route traffic among specialized LLM agents.
- Integrate LLM providers like OpenAI and Google Gemini behind a provider-agnostic layer.
- Deliver Retrieval-Augmented Generation (RAG) solutions using vector stores like Azure AI Search or pgvector.
- Maintain robust CI/CD pipelines and instrument services with OpenTelemetry and structured logging.
- Champion AI-assisted development practices within the engineering team.
Requirements
- Must be based in Canada.
- 5+ years of experience building production APIs in Python, including 2+ years with FastAPI or similar async stacks.
- Hands-on experience with agent frameworks like Semantic Kernel and RAG implementations.
- Strong proficiency in Postgres, SQLModel/SQLAlchemy, and Alembic.
- Proven experience with LLM API integrations and structured-output design.
- Ability to maintain daily work overlap of 09:00 – 13:00 EST.
Nice to have
- Experience with message queues like RabbitMQ, Azure Service Bus, or Kafka.
- Familiarity with observability stacks like Grafana or LangFuse for LLM cost governance.
Culture & Benefits
- Competitive HMO benefits including 175k MBL with one free dependent after one year.
- Generous vacation policy and punctuality bonuses.
- Strong focus on diversity, inclusion, and belonging with 20+ affinity groups.
- Opportunities for mentorship, career growth, and cross-functional learning.
- Commitment to work-life balance in a collaborative, global environment.
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