AI/ML Engineer
Tasks
- Build knowledge grounding and RAG pipelines
- Build multi-agent workflows
- Build serverless functions for event driven agent execution
- Debug agent execution logs and iterate prompts and logic
- Implement API integrations and database queries for agents
- Implement logging cost tracking and basic guardrails
- Implement prompt versioning memory and context management
- Implement tool calling for LLM agents
- Implement vector embeddings and retrieval systems
- Integrate Amazon Bedrock OpenAI and Mistral models
- Integrate OCR and document understanding tools
- Orchestrate LLM prompts and guardrails
- Write tests and evaluation scripts for model behavior
Perks/Benefits
Skills/Tech-stack
API Integration | AWS IAM | AWS Lambda | Amazon Bedrock | Amazon S3 | Amazon Textract | Database Queries | Embeddings | Express | FastAPI | Flask | Function Calling | Guardrails | JSON | LLM | Langchain | Langgraph | Mistral | Node.js | OCR | OpenAI | Prompt engineering | Python | RAG | REST APIs | Serverless computing | Structured Output | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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