AI Software Engineer II, Government Technology
Tasks
- Architect multi agent pipelines
- Build RAG systems
- Conduct AI system evaluations
- Create embedding pipelines
- Design Agentic AI systems
- Develop LLM-powered features
- Implement tool use systems
- Implement vector retrieval
- Integrate MCP systems
- Manage AI feature lifecycle
- Mentor on agentic AI best practices
- Prototype evaluate deploy iterate
- Stay current with agentic AI techniques
- Translate AI opportunities into products
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Embeddings | Function Calling | Langchain | Language Models | Large Language Models | Llamaindex | Model Context Protocol | Model Evaluation | PGVector | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Serverless | Transformers | TypeScript | Vector Databases | Weaviate
Education
N/A
Roles
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