Senior Software Engineer - AI

• Design & scale async REST/WebSocket APIs with Python 3.11+ + FastAPI, using dependency-injection, type hints, and clean vertical-slice architecture.
• Implement multi-agent workflows with Semantic Kernel (handoff, sequential, concurrent) to route traffic among specialised LLM agents.
• Integrate LLM providers (OpenAI GPT-4.1/mini, Google Gemini 2.5 Flash) behind a provider-agnostic layer for A/B and cost-aware routing.
• Deliver Retrieval-Augmented Generation with vector stores such as Azure AI Search, pgvector, or Chroma.
• Expose tool-using agents via OpenAI Assistants (Code-Interpreter) for data-analysis / file-manipulation tasks.
• Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access.
• Maintain robust CI/CD (Bitbucket Jenkins) that lint, type-check, test, package (Docker), and deploy. Instrument services with structlog JSON logs, OpenTelemetry traces, and cost/latency metrics; hold p95* Champion AI-assisted development (GitHub Copilot, Cursor) and share pragmatic problem-solving practices with the team.

• 5 + yrs building production APIs in Python; 2 + yrs with FastAPI (or similar async stack).
• Deep knowledge of async I/O, Pydantic v2, DI, and observability.
• Hands-on with Semantic Kernel or comparable agent frameworks.
• Practical RAG implementations using Azure AI Search, pgvector, or Chroma.
• Strong Postgres skills, including SQLModel/SQLAlchemy 2 and Alembic migrations.
• Proven integrations or Side Projects with LLM APIs (OpenAI, Gemini) and structured-output design.
• Dependency management via Poetry and virtual-env isolation.
• End-to-end CI/CD ownership (build * scan * test * deploy).
• Excellent analytical and problem-solving ability.
• Remote work readiness with daily overlap of at least 09:00 - 13:00 EST.

Nice to have.

• Event/message queues (RabbitMQ, Azure Service Bus, Kafka).
• Observability stacks (Grafana, LangFuse) for LLM cost governance.

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