AI Engineer
Tasks
- Automate offline and online evaluations in CI CD
- Build deploy and operate AI enabled services
- Contribute to AI observability for tracing and evaluation
- Create documentation and design docs
- Define implement per use case evaluation suites
- Design build and operate task oriented agents
- Develop and productionize retrieval grounding pipelines
- Implement PII redaction and policy as code guardrails
- Implement retrieval evaluation and relevance tuning
- Integrate runtime frameworks with enterprise systems
- Maintain agent cards runbooks and playbooks
- Mentor junior AI engineers
- Optimize context size caching rerankers and model selection
- Prepare maintain schemas and data contracts
- Run and manage embedding and context ETL pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | AWS Lambda | Agentic AI | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon VPC | Artificial Intelligence | Audit trails | B testing | CI/CD | Data Contracts | Docker | ETL | Embeddings | Evaluation | Flink | Git | Human-in-the-loop | Infrastructure as Code | Integration Testing | Kafka | Language Models | Large Language Models | Metadata | Observability | OpenSearch | PGVector | Policy-as-Code | Relevance Tuning | Retrieval-Augmented Generation | Rédaction | Task Oriented Agents | Task-oriented | The Loop | Tool Routing | Tracing | Unit Testing | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer
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