Agentic AI Engineer
Tasks
- Build evaluation observability and regression testing
- Build multi-agent orchestration
- Create versioned testable agent workflows
- Design and ship AI agents
- Evaluate confidence uncertainty and consequence
- Ground outputs and ensure traceability with domain experts
- Implement human in the loop escalation
- Manage agent dependencies
- Route work between specialist agents
- Synthesize conflicting agent outputs
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | Agent routing | Agent systems | Amazon EC2 | Amazon ECS | Amazon SNS | Amazon SQS | Autogen | Automated Regression | Automated regression testing | Calibration Curves | Calibration Error | Causal reasoning | Confidence uncertainty estimation | Counterfactual reasoning | CrewAI | Domain Adaptation | Drift Detection | Evaluation harnesses | Expected Calibration Error | Fine Tuning | Foundation Model | Foundation model fine-tuning | GRPC | Go | GraphQL | Human-in-the-loop | Isotonic Regression | LLM Observability | Langgraph | LoRA | Memory | Model Fine-tuning | MongoDB | Multi-Agent | Multi-Agent Systems | Multi-step reasoning | PEFT | Persistent State | Platt Scaling | PostgreSQL | Probability calibration | Production RAG | Python | REST | Regression testing | Reliability calibration curves | Reranking | The Loop | Tool use | Uncertainty Estimation
Education
N/A
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
Regions
Countries
States
Cities
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