AI Engineer
Tasks
- Build RAG pipelines for IT operations
- Collaborate with product teams on use cases acceptance criteria quality metrics
- Design and develop autonomous AI agents
- Implement observability tracing and evaluation
- Integrate AI agents with external tools and systems
- Orchestrate business workflows with AI agents
Perks/Benefits
- Continuous learning plans
- Hybrid work model
- Lunch and coffee provided
- Paid time off
- Shortened Fridays
- Two fully remote weeks per year
Skills/Tech-stack
AWS Bedrock | AWS EventBridge | AWS Lambda | AWS SageMaker | AWS Step Functions | CI/CD | CrewAI | Embeddings | Git | Human-in-the-loop | LLM Evaluation | LLM guardrails | Langchain | Langgraph | Langsmith | OpenSearch | PGVector | Plan-and-Execute | Python | RAG | REST APIs | Re-ranking | React | Retrieval and Re-ranking | Semantic Search | Serverless Architectures | Step Functions | The Loop | Tool usage | Vector Databases | Vector indexing
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | Fullstack Software Developer | Software Developer
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