AI Engineer
Tasks
- Apply deterministic fallbacks circuit breakers and rollback strategies
- Build and maintain RAG pipelines
- Build evaluation frameworks for LLMs
- Conduct design reviews and experimentation rigor
- Create self correction loops
- Define objective functions for reliability and cost
- Design and implement tool calling agents
- Develop retrieval pipelines
- Enable automated diagnostics and remediation
- Enforce safety compliance and least privilege
- Implement prompt synthesis and validation
- Implement validator models and adversarial prompt checks
- Instrument continuous evaluations
- Integrate agents with observability and incident management
- Manage context and caching
- Mentor peers on agent architecture and evaluations
- Optimize cost and latency
- Route models for performance
- Summarize post incident outcomes with traceability
- Translate production pain points into agent roadmaps
- Validate data quality and knowledge freshness
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adversarial Testing | Applied statistics | Batch Processing | C plus plus | C# | Circuit Breakers | CloudFormation | Context Management | Data Structures | Distillation | DynamoDB | ECS | EKS | Fine Tuning | Function Calling | Go | Guardrails | Incident Management | Infrastructure as Code | Java | Lambda | Language Models | Large Language Models | Least Privilege | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Serving | Model routing | Observability | Parallel processing | Policy enforcement | Prompt Caching | Prompt Synthesis | Prompt engineering | Python | RAG | Redshift | Response validation | Retrieval | Rollback strategies | S3 | SageMaker | Step Functions | Streaming | Terraform | Tool-Calling | Tool-calling Agents | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer
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