GenAI Engineer
3 days ago
Job Summary:
Design, develop, and deploy cutting-edge GenAI solutions leveraging large language models, retrieval-augmented generation, and prompt engineering to solve complex business problems in life insurance. You'll work across the full stack—from model selection and fine-tuning to application development and production deployment.
Key Responsibilities:
- Design and implement GenAI solutions using LLMs and other techs
- Build RAG (Retrieval-Augmented Generation) systems with vector databases
- Develop and optimize prompts for accuracy, reliability, and cost-efficiency
- Implement fine-tuning and model customization when needed
- Build evaluation frameworks to test model performance, bias, and safety
- Implement guardrails, safety checks, and content filtering
- Stay current with rapidly evolving GenAI landscape and best practices
- Document technical approaches and share knowledge with the team
Qualifications:
- 3+ years software engineering experience with production systems
- 1+ years hands-on experience with LLMs and GenAI applications
- Strong Python programming skills (FastAPI, LangChain, LlamaIndex, or similar)
- Experience with OpenAI, or other LLM APIs
- Understanding of RAG architectures and vector databases
- Experience with prompt engineering and optimization
- Familiarity with ML fundamentals
- Experience with cloud platforms (Azure, AWS, or GCP)
- Strong problem-solving and debugging skills
- Bachelor's degree in Computer Science, Engineering, or related field
Preferred Qualifications:
- Experience with embedding models and semantic search
- Knowledge of transformer architectures and attention mechanisms
- Experience with MLOps tools and practices
- Experience with front-end development (React, Vue, etc.)
Key Technical Skills:
- Python, REST APIs, JSON
- LLM frameworks: LangChain, LlamaIndex
- Vector databases and semantic search
- Prompt engineering and chain-of-thought techniques
- Model evaluation and testing frameworks
- Git, Docker, CI/CD basics
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