AI Engineer
Tasks
- Build multi agent systems and agentic workflows
- Communicate progress and technical decisions to stakeholders
- Contribute to CI CD processes for model and prompt deployment
- Develop and integrate retrieval augmented generation pipelines
- Harden proof of concept AI systems to production
- Implement LLM powered chatbots and autonomous agents
- Implement observability logging and monitoring for deployed AI systems
- Integrate AI pipelines in AWS and Databricks ecosystem
- Mentor and support other engineers in AI
- Participate in technical discussions and architectural decisions
Perks/Benefits
- Career development program
- Mentoring program
- Remote work
- Training budget
- WFH allowance
- Wellbeing hub
Skills/Tech-stack
AWS Agent | AWS Agent Core | AWS Bedrock | AWS SageMaker | Agent core | Agent systems | Agentic AI | CI/CD | Databricks | Deep learning | LLM Evaluation | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Logging | MLOps | Machine Learning | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Spark | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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