AI Developer
Tasks
- Apply security first practices for prompt injection and data leakage risks
- Architect context pipelines for retrieval memory and prompt architecture
- Build LLM inference integration for scalable AI applications
- Build integrations with AWS services and REST streaming APIs
- Collaborate with product managers, data scientists, and engineers
- Design build and evolve enterprise AI assistant platform
- Develop backend services and user facing interfaces for AI solutions
- Develop multi agent agent architectures and orchestration layers
- Implement guardrails and responsible AI safety systems
- Use AI augmented engineering practices for validation and code quality
Perks/Benefits
Skills/Tech-stack
API Design | API Gateway | AWS Bedrock | AWS Lambda | Async Programming | FastAPI | Flask | Git | JWT | Langchain | Langgraph | Litellm | Model Context Protocol | OAuth | OAuth 2.0 | OpenSearch | PGVector | Pinecone | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | Streaming API | Vector Database
Education
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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