AI Engineering Team Lead
ILS 338K-473K (estimate) Senior-level Full Time
Tasks
- Build multi-agent orchestration
- Collaborate with security and DevOps
- Create evaluation and observability pipelines
- Define workflow orchestration boundaries
- Design agent architecture
- Develop tool use and memory
- Ensure safety and fault tolerance
- Implement rag pipelines
- Implement rollback and audit trails
- Lead code reviews and engineering standards
- Mentor and grow engineering team
- Select and configure LLMs
- Set testing standards for AI systems
Perks/Benefits
Skills/Tech-stack
AI SDK | AWS | AWS Strands | Anthropic | Asynchronous programming | Azure OpenAI | Bedrock | Chroma | Cloud Computing | Distributed Systems | Evaluation | Fault tolerant architecture | Fault-tolerant | Infrastructure as Code | Langgraph | Language Models | Large Language Models | MCP | Mastra | MongoDB | Observability | Ollama | Pinecone | PostgreSQL | Prompt engineering | Python | RAG | Semantic Memory | Semantic Tool Discovery | Terraform | Tool discovery | TypeScript | Vector Databases | Vercel AI SDK | Vercel AI) | Vertex AI | Weaviate | Workflow Orchestration | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Team Lead | AI Technical Lead | Engineering Team Lead | Lead | Team Lead | Technical Lead
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