Senior Product Software Engineer (.NET /AL / Large Language Models (LLMs) / RAG)
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build and optimize RAG pipelines embeddings and semantic search systems
- Collaborate on scalable AI enabled cloud architectures
- Design and develop AI first agentic applications
- Design and implement autonomous agents and multi agent workflows
- Develop and integrate MCP based tools and services
- Ensure performance reliability safety and observability of AI systems
- Integrate AI capabilities into enterprise applications and backend systems
- Maintain clean testable and well documented code
- Mentor developers in AI engineering and agentic design patterns
- Troubleshoot complex issues across AI and traditional systems
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Search | API Integration | Agent Orchestration | Agent systems | Agile | Anomaly Detection | Autogen | Autonomous Agents | Azure AI | Azure AI Search | Azure Cognitive | Azure Cognitive Services | Azure OpenAI | C# | CSS3 | Clustering | Cognitive Services | Community analysis | Cosmos DB | Distributed Systems | Embeddings | Faiss | Function Calling | Git | Graph based scoring | Graph-based | HTML5 | Hallucination mitigation | JavaScript | Langchain | Langgraph | Llamaindex | Machine Learning | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Neo4j | Pinecone | PostgreSQL | Predictive Modeling | Prompt engineering | Prompt testing | Python | RESTful APIs | React | Recommendation Engines | Retrieval-Augmented Generation | SQL Server | Scrum | Semantic Kernel | Semantic Search | Series forecasting | Time Series | Time Series Forecasting | Tokenization | Tool Using | Tool-using agents | Vector Databases
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