Senior Software Engineer – AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design and scale asynchronous REST/WebSocket APIs utilizing Python 3.11+ and FastAPI.

• Implement workflows involving multiple agents using Semantic Kernel.

• Integrate LLM providers through a provider-agnostic layer to enable A/B testing and cost-aware routing.

• Deliver Retrieval-Augmented Generation utilizing vector stores.

• Expose tool-using agents via OpenAI Assistants for performing data-analysis and file-manipulation tasks.

• Evolve schemas with SQLModel, SQLAlchemy 2, and Alembic; optimize Postgres for high-concurrency asynchronous access.

• Maintain a robust CI/CD pipeline that includes linting, type-checking, testing, packaging, and deployment.

• Instrument services with structlog JSON logs, OpenTelemetry traces, and metrics related to cost and latency.

• Advocate for AI-assisted development and share effective problem-solving practices with the team.

⛳️ Requirements

• Over 5 years of experience in building production APIs using Python.

• More than 2 years of experience with FastAPI or a similar asynchronous technology stack.

• In-depth knowledge of asynchronous I/O, Pydantic v2, dependency injection, and observability.

• Hands-on experience with Semantic Kernel or similar agent frameworks.

• Practical experience with Retrieval-Augmented Generation implementations using Azure AI Search, pgvector, or Chroma.

• Strong skills in Postgres, including SQLModel, SQLAlchemy 2, and Alembic migrations.

• Proven experience with integrations or side projects involving LLM APIs (such as OpenAI and Gemini) and structured-output design.

• Proficient in dependency management utilizing Poetry and virtual environment isolation.

• End-to-end ownership of CI/CD processes (building, scanning, testing, and deploying).

• Exceptional analytical and problem-solving skills.

• Prepared for remote work with daily availability overlapping from 09:00 to 13:00 EST.

• Nice to have: Familiarity with event/message queues such as RabbitMQ, Azure Service Bus, or Kafka.

• Nice to have: Experience with observability stacks like Grafana or LangFuse for managing LLM costs.

🏝️ Benefits

• Flexible work arrangements.