AI Engineer Lead
Tasks
- Build AI agents using Agentic AI frameworks
- Build intelligent autonomous agents and multi agent systems
- Contribute to testing and documentation
- Deploy manage and optimize AI ML workloads on cloud platforms
- Design and implement scalable RESTful APIs and microservices
- Design and optimize SQL and NoSQL database schemas
- Develop Model Context Protocol solutions
- Develop and fine tune foundation model applications
- Develop full stack applications integrating generative AI models
- Develop scalable Python applications focused on GenAI
- Implement LLMOps and MLOps and DevOps best practices
- Implement document chunking and embeddings
- Implement retrieval-augmented generation and prompt engineering
- Set up CI CD and model deployment monitoring and lifecycle management
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Angular | Async Programming | Autogen | Autonomous Agents | Azure | CI/CD | CSS | Cassandra | Crew AI | DevOps | Django | Document chunking | Embeddings | FastAPI | Flask | Go | Google Cloud | HTML | Haystack | JavaScript | LLMOps | LLMs | Langchain | Llamaindex | MLOps | Microservices | Model Context Protocol | Model Context Protocol MCP | MongoDB | Multi-Agent | Multi-Agent Systems | Multimodal Models | MySQL | NoSQL | Node.js | NumPy | Object-Oriented | Object-oriented programming | Pandas | PostgreSQL | Prompt engineering | Protocol MCP | PyTorch | Python | REST APIs | RESTful APIs | React | Retrieval-Augmented Generation | SQL | Semantic Kernel | Snowflake Cortex | TensorFlow | Testing | TypeScript | Vue.js
Education
N/A
Roles
AI | AI Engineer | AI Software Engineer | Developer | Engineer | GenAI Developer | Software Engineer
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