AI Engineer
Tasks
- Build AI agents using agent frameworks
- Build full stack applications integrating GenAI models and agents
- Deploy manage and optimize AI ML workloads on cloud
- Design build and fine tune foundation model applications
- Design scalable RESTful APIs and microservices
- Develop Model Context Protocol solutions
- Develop intelligent autonomous agents and multi agent systems
- Develop scalable Python applications for GenAI
- Follow coding best practices and write tests and documentation
- Implement MLOps and LLMOps practices with CI CD
- Implement document chunking and embeddings
- Implement retrieval-augmented generation and prompt engineering
- Integrate generative AI with front end and back end systems
- Monitor and manage model and application lifecycle
- Research and experiment with generative AI advancements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Angular | Async Programming | Autogen | Azure | CI/CD | CSS | Cassandra | Continuous Delivery | Continuous integration | Crew AI | Django | FastAPI | Flask | Foundation Models | GCP | Go | HTML | Haystack | JavaScript | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Model Context Protocol | Model Deployment | MongoDB | Monitoring | Multimodal Models | MySQL | NoSQL | Node.js | NumPy | Object-Oriented | Object-oriented programming | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | REST APIs | RESTful Services | React | Retrieval-Augmented Generation | SQL | Schema Design | Semantic Kernel | Snowflake Cortex | TensorFlow | TypeScript | Vector embeddings | Vue.js
Education
N/A
Roles
AI | AI Engineer | Developer | Engineer | GenAI Developer | Learning Engineer | Machine Learning Engineer
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