Database reliability engineer testing InfluxDB Enterprise 3 for correctness, stability, and performance. Building automated reliability workflows for distributed workloads and production readiness.
About the role
- Lead AI back-end engineer architecting agent-driven platforms for Network Solutions’ digital identity and security products. Building scalable APIs, RAG systems, orchestration, and LLM observability.
Responsibilities
- Set the technical architecture for an agent-powered platform using LLMs, retrieval technologies, agent frameworks, and microservice patterns
- Drive architecture for high-throughput APIs using .NET, C#, Python 3.11+, FastAPI async, SQLModel, and Semantic Kernel
- Lead multi-agent orchestration across handoff, sequential, parallel, and supervisor patterns
- Guide implementation of Retrieval Augmented Generation on Azure AI Search, pgvector, Chroma, and equivalent platforms
- Own end-to-end CI/CD pipelines, including linting, type checking, security scanning, testing, containerization, and deployment
- Mentor and hire engineers and adopt AI coding agents such as Cursor and Claude Code
- Champion observability and FinOps for LLM workloads using structured JSON logging, OpenTelemetry tracing, Langfuse, evaluation frameworks, and cost dashboards
- Partner with Product and Security to translate business goals, compliance requirements, AI capabilities, and user feedback into a technical roadmap
- Steer the core intelligence behind AI products serving millions of users while maintaining reliability, security, governance, and economic standards
Requirements
- 7+ years building and scaling production backend systems
- 2+ years in a technical lead, staff, principal, or equivalent role
- Expert REST API design and development using Python FastAPI or .NET C# APIs
- Strong experience with dependency injection, middleware, profiling, performance optimization, and distributed systems
- Hands-on leadership experience with Semantic Kernel or equivalent agent and LLM frameworks
- Production experience with agent orchestration, tool calling, structured outputs, and multi-step workflows
- Delivered at least one production RAG system or pipeline using a vector or hybrid search platform such as Azure AI Search, pgvector, Chroma, or equivalent
- Deep PostgreSQL expertise plus SQLModel, SQLAlchemy 2, and Alembic migrations at scale
- Experience integrating multiple frontier and cost-optimized model providers, including model routing, structured output, reasoning, tool calling, and fallback strategies
- Fluency with Poetry, Docker, GitHub Actions, Azure DevOps, Jenkins, or Argo
- Infrastructure as code fundamentals and blue-green or canary release strategies
- Strong people leadership through code reviews, architectural guidance, technical mentoring, roadmap planning, hiring, and cross-team communication
- Nice to have: message queue and event-driven architectures using RabbitMQ, Kafka, Azure Service Bus, or equivalent
- Nice to have: GPU inference fleets, self-hosted open-weight models, or serverless model hosting
- Nice to have: model gateways, intelligent model routing, MCP, agent interoperability, prompt caching, and LLM cost optimization
- Nice to have: automatic evaluation pipelines, agent evaluations, LLM-as-judge techniques, safety guardrails, and cost-aware prompt and context engineering
Benefits
- Work-life balance
- Diversity and inclusion programs
- Learning and development opportunities
- 20+ affinity groups for networking and connection
- Competitive HMO benefits – 175k MBL with one free dependent upon one year of service
- Punctuality Bonus
- Generous Vacation policy
- Mentoring and career growth opportunities
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Degree requirement
No Education Requirement
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