Team Lead, AI Engineering
USA - Atlanta, GA; USA - Hoboken, NJ; USA - Sandy, UT
R
USD 157K-254K (estimate) Senior-level Full Time
Tasks
- Build Models Gateway with provider abstraction and routing
- Build RAG pipelines for ingestion chunking and embeddings
- Coach engineers through technical decisions and incident learnings
- Design scalable secure reliable observable AI platform
- Drive platform adoption reliability and developer productivity metrics
- Ensure delivery quality across releases
- Ensure production readiness with runbooks and rollback plans
- Establish governance for responsible secure enterprise AI
- Guide AI platform architecture and implementation
- Implement MCP server and client libraries
- Implement prompt management and LLM evaluation
- Lead AI platform engineering roadmap and delivery
- Lead agent orchestration capabilities development
- Lead, mentor, and grow AI engineering team
- Partner with stakeholders to translate requirements into technical plans
- Set standards for code quality testing documentation security observability CI CD
Perks/Benefits
Skills/Tech-stack
AI Search | AKS | Agent workflows | Async Programming | Authentication | Autogen | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Monitor | Azure OpenAI | Azure Storage | CI/CD | Code review | Container Apps | CrewAI | Distributed Systems | Event Driven | Event-driven architecture | FinOps | Grafana | Human-in-the-loop | JavaScript | LLM | Langchain | Langgraph | MCP | Multi-Agent | Multi-agent workflows | Observability | OpenTelemetry | Prompt engineering | Python | RAG | REST API | React | Regression testing | State management | The Loop | Tool-augmented reasoning | TypeScript | Unit Testing | Vector Databases
Education
N/A
Regions
Countries
States
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