Artificial Intelligence Engineer
Tasks
- Apply MLOps and model evaluation
- Build backend services and APIs for AI applications
- Build production ready LLM RAG agentic systems
- Deliver production ready AI implementations
- Deploy and operate AI services on AWS GCP Azure
- Design document intelligence pipelines
- Develop AI applications with LangChain
- Evaluate emerging AI technologies
- Implement retrieval systems with embeddings and vector databases
- Translate requirements into scalable AI solutions
Perks/Benefits
- Contract or consulting engagement
- Part-time engagement
- Remote work within India
- Technical ownership and autonomy
Skills/Tech-stack
AWS | Azure | Django | Embeddings | FastAPI | GCP | LLM | Langchain | Langgraph | LlamaCloud | MLOps | Machine Learning | Model Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Vector Databases
Education
N/A
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