Senior Applied AI Engineer 3 - (Python, LLMs, RAG)
Tasks
- Architect and implement LLM workflows
- Build data pipelines for AI applications
- Build retrieval-augmented generation pipelines
- Deploy and transition prototypes to production
- Design and develop production AI software applications
- Develop AI agent capabilities
- Develop backend services and APIs
- Evaluate AI frameworks and models
- Integrate natural language inputs with mission data sources
- Mentor junior engineers and contribute to architecture
Perks/Benefits
Skills/Tech-stack
AI Agents | APIs | Backend Development | Data Pipelines | Docker | Elasticsearch | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented design | Pydantic | Python | REST APIs | Retrieval-Augmented Generation | SQL | Software Architecture
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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