AI Software Engineer
Tasks
- Build backend APIs and services
- Collaborate with technical and non-technical stakeholders
- Create data pipelines and production AI workflows
- Define evaluation metrics and retrieval pipelines
- Develop and maintain AI enterprise solutions
- Ensure code quality and testing standards
- Implement GenAI architectures
- Lead end-to-end development lifecycle
- Set up observability and monitoring
- Support continuous improvement of AI stack
- Work with LLM embeddings and retrieval strategies
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agentic AI | Async/Await | Azure OpenAI | CI/CD | Distributed Systems | Docker | Embeddings | GraphRAG | Language Models | Large Language Models | MLOps | Model Context Protocol | Monitoring | NLP | Observability | Prompt engineering | Pydantic | Pytest | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Testing | Typing | Vector Databases
Education
N/A
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