AI Engineer - Application Development
Tasks
- Apply prompt engineering strategies
- Apply responsible AI guardrails
- Architect full stack AI features with reliable API integrations
- Build RAG pipelines
- Design and develop AI enabled features for web workflow applications
- Develop web applications
- Document technical implementations
- Ensure security and cybersecurity compliance
- Implement LLM observability
- Implement agentic workflows
- Integrate AI and LLM APIs
- Participate in code reviews and CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | AWS GovCloud | Agno | Amazon Bedrock | Azure | Azure OpenAI | Azure OpenAI Service | CI/CD | CrewAI | Docker | Embeddings | GCP | Git | Haystack | JavaScript | LLM APIs | Langgraph | Machine Learning | NLP | Node.js | NumPy | OpenAI | OpenAI Service | OpenSearch | PGVector | Pandas | Prompt engineering | Python | RESTful APIs | React | Retrieval-Augmented Generation | Scikit-learn | TypeScript | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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