Staff AI Engineer / Lead AI Engineer
Tasks
- Build LLMOps and MLOps evaluation pipelines
- Deploy AI and ML workloads on AWS
- Design agentic AI architectures
- Design threat detection research
- Improve observability and governance
- Integrate models into high scale systems
- Integrate tool calling and orchestration
- Mentor junior team members
- Research build and evaluate ML models
- Research build and evaluate generative AI models
- Scope and design AI driven workflows
- Support AI security feature development
- Transform research into production solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS IAM | AWS Lambda | AWS Step Functions | Agent Orchestration | Amazon Athena | Amazon Bedrock | Amazon EKS | Amazon S3 | Amazon SageMaker | Anomaly Detection | CI/CD | CrewAI | Huggingface | Jupyter | Keras | LLMOps | Langchain | Langgraph | MLOps | Model Monitoring | Model Risk Management | Model risk | Multi-Agent | Multi-agent orchestration | NumPy | Pandas | Prompt engineering | PyTorch | Python | Risk Management | Scikit-learn | Step Functions | TensorFlow | Terraform | Tool-Calling | Transformers
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Staff AI Engineer
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