AI/ML Engineer
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Job Description
AI/ML Developer building and customizing LLM-based solutions for First American. Collaborating with teams to deliver AI-powered applications and supporting AI solutions in production.
Responsibilities:
- Design, build, and maintain LLM-powered solutions including custom GPTs and domain-specific assistants.
- Develop and optimize prompts, system instructions, and context strategies for accuracy and reliability.
- Implement prompt chaining, tool calling, and basic agentic workflows.
- Build and support Retrieval-Augmented Generation (RAG) pipelines using vector databases.
- Evaluate, test, and improve LLM outputs using defined quality and safety criteria.
- Apply responsible AI principles, safety guardrails, and governance standards in all implementations.
- Develop full stack AI-enabled applications including backend services, APIs, and UI integrations.
- Integrate LLM capabilities into existing enterprise applications.
- Build reusable services and components to support AI features.
- Debug and resolve application or AI-related issues impacting functionality or user experience.
- Develop and deploy AI solutions on Azure and/or AWS.
- Support CI/CD pipelines for application and AI workloads.
- Assist with MLOps workflows including model versioning, deployment, and monitoring.
- Ensure solutions are secure, reliable, and cost-aware in production environments.
Requirements:
- 3–5 years of overall software engineering experience
- Strong full stack development background
- Proficiency in Python and solid programming fundamentals
- Hands-on experience with LLMs, Generative AI, and prompt engineering
- Experience creating or customizing GPT-based solutions
- Familiarity with RAG architectures and vector databases
- Cloud experience with Azure and AWS
- Basic understanding of MLOps, DevOps, and production support practices.
Benefits:
- Health insurance
- Professional development opportunities
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