AI/LLM Engineer
Hartford-Farmington Ave Rogers, United States
USD 101K-203K Mid-level Full Time
Tasks
- Build retrieval-augmented generation (RAG) systems
- Collaborate with stakeholders to deliver production ready AI
- Create prompt engineering frameworks
- Deploy AI solutions using cloud services
- Design LLM-powered applications
- Develop text reasoning and decision workflows
- Ensure security, governance, and responsible AI compliance
- Evaluate and improve model outputs
- Implement embeddings and vector search
- Optimize prompts and templates
- Set up monitoring logging and feedback loops
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Anthropic | Atlas Vector Search | Azure | CI/CD | Cloud platform | Docker | Embeddings | Faiss | FastAPI | Flask | GRPC | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Language Processing | Llamaindex | Logging | MLOps | Machine Learning | Microservices | MongoDB Atlas | MongoDB Atlas Vector Search | Monitoring | Natural Language | Natural Language Processing | Observability | OpenAI | Pandas | Pinecone | Prompt engineering | Python | REST | Retrieval-Augmented Generation | SQL | Semantic Kernel | Spark | Vector Search | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | LLM Engineer
Regions
Countries
States
Cities
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