AI Engineer II

Software Engineer II designs, develops, tests, and debugs software applications, contributes to software builds, completes code reviews and automated testing to maintain high-quality standards with guidance, supports and monitors software across environments, and adheres to security and regulatory best practices.

• Designs, develops, tests, and debugs software applications and systems, including AI/GenAI-powered applications and intelligent automation solutions.
• Develops and integrates Generative AI capabilities using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and vector databases where applicable.
• Completes software builds through consistent development practices, including the use of tools, common components, AI frameworks, and documentation with guidance from peers and leaders.
• Completes code reviews and automated testing to maintain high-quality code standards, including evaluation and validation of AI model outputs, with guidance from peers and leaders.
• Supports and monitors software across test, integration, and production environments, including monitoring AI application performance, quality, and reliability.
• Adheres to security, responsible AI, and regulatory best practices to ensure software and AI solution compliance.
• Collaborates and co-creates effectively with teams in product and the business to align technology initiatives and AI-driven solutions with business objectives.

Education Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience.
• Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL and relational databases.
• Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s).

• Familiarity with Generative AI concepts, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, Retrieval-Augmented Generation (RAG), AI orchestration frameworks (e.g., LangChain/LlamaIndex), and cloud AI services is preferred.

   

Work Experience:

• Software engineering and development experience or a related job.
• Experience in application design, software development, and automated testing.
• Experience in object-oriented design and coding with a variety of programming languages.
• Experience in distributed (multi-tiered) systems, algorithms, and relational databases.
• Experience in Agile software development methodologies and practices such as Scrum/Kanban, iterations, and user stories.
• Experience in automation testing and documentation (i.e. automated, functional, and performance).
• Experience building, integrating, or deploying AI/GenAI solutions using LLM APIs, AI frameworks, cloud AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI), or open-source models is preferred.
• Exposure to prompt engineering, RAG pipelines, vector databases, AI evaluation techniques, and model observability is a plus.