Python / Generative AI Engineer

JOB SUMMARY

The Python / Generative AI Engineer will design, develop, and implement AI-driven applications leveraging Generative AI technologies. The role focuses on building scalable AI solutions using Python, developing Retrieval-Augmented Generation (RAG) systems, and integrating AI models within cloud environments. The engineer will work closely with data scientists, engineers, and DevOps teams to implement GenAI solutions, optimize prompts, and deploy AI applications using modern cloud and container technologies.

Location

Los Angeles, CA / Irvine, CA (Hybrid)

Experience

5+ Years

Key Responsibilities

• Design and develop scalable applications using Python and SQL.

• Implement Generative AI solutions leveraging modern AI frameworks and tools.

• Build and maintain Retrieval-Augmented Generation (RAG) systems for AI-powered applications.

• Develop prompt engineering strategies to improve GenAI model outputs.

• Integrate AI solutions with cloud platforms and enterprise systems.

• Deploy and manage AI workloads using AWS, Docker, and DevOps pipelines.

• Collaborate with cross-functional teams to translate business problems into AI-driven solutions.

• Optimize AI workflows and ensure performance, reliability, and scalability.

• Implement and manage the Generative AI lifecycle including development, testing, deployment, and monitoring.

• Troubleshoot and resolve issues related to AI model integration and deployment.

Required Skills & Experience

• Minimum 5+ years of strong hands-on experience in Python development.

• Strong proficiency in SQL for data processing and analysis.

• Hands-on experience in Generative AI development using Python.

• Experience building Retrieval-Augmented Generation (RAG) based AI systems.

• Strong knowledge of prompt engineering and GenAI model interaction.

• Experience with AWS cloud services.

• Experience with containerization technologies such as Docker.

• Familiarity with DevOps practices and CI/CD pipelines.

• Strong analytical thinking, problem-solving, and critical reasoning skills.

• Ability to work independently with strong ownership and accountability.

Competencies

• Python Development

• Generative AI Development

• Retrieval-Augmented Generation (RAG)

• Prompt Engineering

• Cloud Computing (AWS)

• DevOps & Containerization

• SQL & Data Processing

Preferred Skills

• Experience using LangChain for building AI agents and GenAI workflows.

• Experience designing enterprise-level AI applications.

• Exposure to AI/ML model lifecycle management and deployment frameworks.