AI Engineer_Agentic AI
INR 2500K-4800K (estimate) Senior-level Full Time
Tasks
- Build intelligent autonomous agents
- Build multi-agent systems
- Contribute to testing and documentation
- Deploy and monitor model lifecycle management
- Deploy and optimize AI ML workloads on cloud
- Design scalable database solutions
- Develop Model Context Protocol solutions
- Develop RESTful APIs and microservices
- Develop scalable Python applications focused on generative AI
- Fine tune foundation model applications for business needs
- Follow coding best practices
- Implement LLMOps and MLOps best practices
- Implement document chunking and embeddings
- Implement retrieval-augmented generation
- Integrate generative AI into full stack applications
- Perform prompt engineering
- Set up continuous integration continuous delivery
- Use agentic AI frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Angular | Autogen | Autonomous Agents | Azure | CI/CD | CSS | Cassandra | Crew AI | Database optimization | Django | Document chunking | Embeddings | FastAPI | Flask | GCP | Generative AI | Go | HTML | JavaScript | LLMOps | Langchain | Language Models | Large Language Models | MCP | MLOps | Microservices | Model Context Protocol | Model Deployment | MongoDB | Monitoring | Multi-Agent | Multi-Agent Systems | Multimodal Models | MySQL | NoSQL | Node.js | PostgreSQL | Prompt engineering | Python | RESTful APIs | React | Retrieval-Augmented Generation | SQL | Schema Design | Semantic Kernel | Snowflake Cortex | TypeScript | Vue.js
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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