GenAI Software Engineer, Professional (Risk Engineering & Automation)
Tasks
- Apply DevOps practices
- Apply prompt engineering to improve model performance
- Build RAG pipelines
- Create automation workflows for business and risk processes
- Design and develop scalable GenAI applications
- Develop Python microservices
- Embed risk controls and governance into AI systems
- Evaluate and improve AI models
- Implement CI/CD pipelines
- Implement restful APIs
- Integrate LLM guardrails and validation mechanisms
- Participate in code reviews and design discussions
- Transform cleanse and prepare data for AI
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CI/CD | DevOps | LLM guardrails | Langchain | Langgraph | Microservices | Model Evaluation | Prompt engineering | Python | RAG Pipelines | RESTful API | Retrieval-Augmented Generation | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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