AI Engineer
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build autonomous agents and multi agent systems
- Conduct research on generative AI and agentic systems
- Deploy manage and optimize AI ML workloads on cloud
- Design and implement RESTful APIs and microservices
- Design scalable foundation model applications
- Develop full stack applications with GenAI and agents
- Develop scalable AI agent frameworks integrations
- Develop scalable Python applications for GenAI
- Fine tune foundation model applications
- Follow coding best practices testing and documentation
- Implement CI CD for model deployment and monitoring
- Implement LLMOps and MLOps best practices
- Implement Model Context Protocol solutions
- Implement document chunking and embeddings
- Implement retrieval-augmented generation
- Perform prompt engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Angular | Asyncio | Autogen | Autonomous Agents | Azure | CI/CD | CSS | Cassandra | Cloud platform | Continuous Delivery | Continuous integration | Crew AI | Django | Document chunking | Embeddings | FastAPI | Flask | Go | Google Cloud | Google Cloud Platform | HTML | Haystack | JavaScript | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MCP | MLOps | Microservices | Model Context Protocol | Model Deployment | MongoDB | Monitoring | Multi-Agent | Multi-Agent Systems | Multimodal Models | MySQL | NoSQL | Node.js | NumPy | Object-Oriented | Object-oriented programming | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | REST APIs | RESTful APIs | React | Retrieval-Augmented Generation | SQL | Semantic Kernel | Snowflake Cortex | TensorFlow | TypeScript | Vue.js
Education
N/A
Roles
AI | AI Engineer | Engineer | GenAI Engineer
Regions
Countries
States
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