Senior AI Back-End Engineer

Role Description

As a Senior AI Back-End Engineer, you will:

• Design & scale async REST/WebSocket APIs with Python 3.11+ and 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 < 100 ms.
• Champion AI-assisted development (GitHub Copilot, Cursor) and share pragmatic problem-solving practices with the team.

Qualifications

• 5+ years building production APIs in Python; 2+ years 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.

Requirements

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

Benefits

• Work-life balance: Our work is thrilling and meaningful, but we know balance is key to living well.
• Diversity and inclusion: We celebrate one another’s differences and foster a culture of belonging.
• Health benefits: Competitive HMO benefits – 175k MBL with one free dependent upon one year of service.
• Punctuality Bonus and Generous Vacation policy.
• Career development: Opportunities to learn different aspects of the business, be challenged with new tasks, be mentored, and grow your career.

Company Description

At Network Solutions, we’ve been trusted for decades to help people get online and stay ahead. We help secure domain names, protect brands, and safeguard the infrastructure businesses rely on. Our team leverages modern, AI-accelerated tools to streamline how businesses manage their digital presence.