AI Engineer - Application Development
Tasks
- Apply responsible AI guardrails
- Build RAG pipelines
- Design AI-enabled features
- Develop full-stack AI features
- Develop web applications
- Document technical implementations
- Handle security vulnerabilities
- Implement LLM observability
- Implement agentic workflows
- Integrate AI/LLM APIs
- Participate in code reviews
- Perform prompt engineering
- Set up CI/CD pipelines
Perks/Benefits
- Continuing education
- Family support benefits
- Flexible time off
- Healthcare
- Learning and development
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
API Integration | AWS | Agno | Amazon Bedrock | Azure | CI/CD | Cloud platform | CrewAI | Docker | Error Handling | Git | Google Cloud | Google Cloud Platform | Hallucination detection | Haystack | JavaScript | Langgraph | Machine Learning | Model Evaluation | NLP | Node.js | NumPy | OpenAI API | Output Validation | Pandas | Prompt engineering | Python | REST APIs | React | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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