Tech Lead AI Engineer
Tasks
- Create prompt engineering strategies and versioned prompt libraries
- Define data engineering architecture for context stores and ETL
- Ensure documentation standards with agent cards runbooks and playbooks
- Evaluate and integrate runtime agent frameworks and enterprise systems
- Implement security compliance guardrails and audit trails
- Lead development of task oriented AI agents
- Mentor AI engineers
- Optimize context caching rerankers and tool routing for cost and performance
- Oversee RAG retrieval and grounding pipeline productionization
- Plan and automate evaluation frameworks with CI CD eval gates
- Set technical direction for agent architecture and design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS VPC | Agile | Amazon Redshift | Amazon S3 | Amazon SageMaker | CI/CD | ETL | Embeddings | Evaluation | Git | Guardrails | IAM | Integration Testing | LLMOps | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Networking | Observability | OpenSearch | PGVector | PII Redaction | Policy-as-Code | Prompt engineering | Python | Retrieval-Augmented Generation | Tracing | Unit Testing | Vector Databases | “as-code”
Education
Roles
AI Engineer | Engineer | Lead AI Engineer | Tech Lead | Tech Lead AI | Tech Lead AI Engineer
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