Lead AI Engineer — Agentic Products & Platform
Tasks
- Build agent platform integration layer
- Build evaluation pipelines for regressions
- Collaborate with data scientists to embed model outputs
- Collaborate with full stack teams for agent capabilities
- Define agent interfaces with platform and data
- Design and build AI agents
- Document technical decisions and system designs
- Implement human in the loop interventions
- Instrument agent reliability and observability
- Own 24 7 on call rotation for AI systems
- Own agent engineering stack
- Provide incident response for AI system failures
- Translate product and data science intent into production systems
Perks/Benefits
Skills/Tech-stack
API Design | API Integration | AWS | AWS Bedrock | Agent Orchestration | Amazon Redshift | Asynchronous programming | CrewAI | Databricks | Evaluation | Function Calling | GitHub Actions | Go | Human-in-the-loop | Kubernetes | LLM API | LLM API integration | Langgraph | Multi-step reasoning | Observability | PostgreSQL | Prompt engineering | Python | RAG | SQL | Service reliability | Testing | The Loop | Tool use | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
Regions
Countries
States
Cities
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