AI Engineer
Tasks
- Automate diagnostics and runbook execution
- Build RAG pipelines
- Build tool calling agents
- Collaborate with production engineers to define objectives
- Conduct design reviews and mentor peers
- Enforce safety guardrails and policy checks
- Evaluate LLMs
- Implement deterministic fallbacks and circuit breakers
- Implement retrieval pipelines
- Instrument continuous model evaluations
- Integrate agents with observability and incident management
- Optimize cost and latency for LLM systems
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial prompts | Batch Processing | C plus plus | C# | Caching | Circuit Breakers | CloudFormation | Context Management | Data Validation | Deep learning | Distillation | Docker | DynamoDB | ECS | EKS | Function Calling | Go | Java | Kubernetes | Lambda | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model routing | Parallel execution | Policy enforcement | Prompt Synthesis | Prompt engineering | Python | RAG | Redshift | Response validation | Retrieval Pipelines | Rollback strategies | S3 | SageMaker | Secure Systems | Self-correction | Step Functions | Streaming | Terraform | Tool-Calling | Vector Retrieval
Education
N/A
Roles
AI | AI Engineer | Engineer
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