AI Developer
Tasks
- Build RAG pipelines
- Build inference services
- Build multi-agent workflows
- Conduct iterative prototyping and experimentation
- Deploy and monitor AI models
- Design prompt strategies
- Develop end-to-end AI solutions
- Implement context management
- Implement evaluation metrics integration
- Implement retrieval systems
- Implement reusable AI libraries and APIs
- Implement safety guardrails
- Integrate AI models with enterprise systems
- Integrate LLM powered applications
- Optimize model performance
- Orchestrate LLM workflows
- Perform code reviews and mentoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS Glue | AWS Lambda | AWS RDS | Airflow | Arize | CI/CD | DeepEval | Docker | Embedding Models | Git | Graph Databases | Graph RAG | Jenkins | Kubernetes | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | Logging | N8n | Neo4j | Observability | OpenSearch | PGVector | PostgreSQL | Prefect | Prompt engineering | Python | REST APIs | Ragas | Retrieval-Augmented Generation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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