Job ad title for career site
Tasks
- Build Agentic AI solutions using RAG
- Collaborate with GitHub pull requests and code reviews
- Design and implement REST APIs
- Develop retrieval and grounding for RAG answers
- Develop streaming APIs for chat responses
- Evaluate RAG output quality
- Implement vector database similarity search
- Integrate production LLM providers
- Orchestrate LLM workflows
- Write unit and integration tests with PyTest
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Versioning | AWS | AWS ECS | AWS Fargate | AWS Secrets | AWS Secrets Manager | Anthropic | Asyncio | Authentication | Azure OpenAI | CI/CD | Docker | Embeddings | FastAPI | GitHub Actions | LLM orchestration | Langchain | Langfuse | Langsmith | Language Models | Large Language Models | Llamaindex | Milvus | Mypy | N A | OpenAI | OpenAPI | OpenInference | PGVector | Pinecone | Pre-commit | Pydantic | Pytest | Python | Qdrant | RAG | REST APIs | Retrieval-Augmented Generation | Rfc 2119 N/A | Ruff | Secrets Manager | Similarity Search | Streaming | Swagger | Terraform | Vector Databases | Weaviate | WebSockets
Education
N/A
Roles
AI | AI Engineer | Backend Engineer | Engineer | Python | Python Backend Engineer
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