AI Developer (LangChain and LangGraph)
Tasks
- Build retrieval search layers for LLM including hybrid and vector search
- Design develop implement multi step AI agents
- Design implement AI agent workflows with tools memory and context
- Evaluate and test AI systems
- Implement metadata filtering
- Integrate LLM with external tools APIs knowledge sources and enterprise systems
- Update knowledge on latest AI technologies and best practices
Perks/Benefits
- English language courses
- Family leave
- Home office support
- Medical insurance
- Paid sick leave
- Paid time off
- Professional conferences
- Team building events
- Work from home
Skills/Tech-stack
API Integration | AWS | AWS Lambda | Amazon Bedrock | Amazon ECS | Amazon S3 | Design Patterns | Docker | JavaScript | Kubernetes | LLM | Langchain | Langgraph | Langsmith | Microservices | NoSQL | Node.js | OpenSearch | Python | RAG | Software Design | Software Design Patterns | Testing | TypeScript | Vector Databases | Vue.js
Education
N/A
Roles
AI | AI Engineer | Engineer
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