Senior AI Engineer
INR 2100K-3800K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering for reliability safety and performance
- Build AI microservices with Python and FastAPI or Flask
- Build and deploy LLM-powered applications
- Create AI agents for structured and unstructured data
- Design and implement retrieval-augmented generation pipelines
- Design and manage knowledge graphs with Neo4j
- Develop ingestion embedding indexing and retrieval pipelines
- Enable scalable observable and governed LLM interactions
- Evaluate LLM and NLP models with qualitative and quantitative techniques
- Implement NLP workflows for embeddings entity extraction classification summarization and similarity search
- Implement semantic search with vector databases
- Implement tool use patterns for agents
- Integrate and consume internal and external REST APIs
- Iterate on prompts retrieval strategies and model configurations
- Model relationships and optimize graph queries with Cypher
- Monitor performance for accuracy latency cost and hallucinations
- Register datasets APIs and tools for secure LLM access
- Set up and operate Model Context Protocol servers
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Azure | CI/CD | Cypher | Docker | Embeddings | Entity Extraction | FastAPI | Flask | Function Calling | Git | JavaScript | Kubernetes | LLM | Langchain | Language Processing | Llamaindex | Microservices | Model Context Protocol | Natural Language | Natural Language Processing | Neo4j | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Scala | Semantic Kernel | Semantic Search | Spark | Summarization | TensorFlow | Text Classification | Vector Databases
Education
N/A
Roles
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