AI Solutions Engineer

Job Description

A large Life Sciences company based in San Diego, CA is seeking a Sr. AI Solutions Engineer to join their team for a short-term project based need. The Sr. AI Solutions Engineer designs, builds, and deploys AI-powered solutions that solve complex business challenges. This role combines expertise in software engineering, machine learning, large language models (LLMs), cloud platforms, and solution architecture to deliver scalable AI applications. The ideal candidate works closely with business stakeholders, data scientists, product managers, and engineering teams to translate business requirements into production-ready AI systems.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

6+ years of Software Engineering or ML/LLM Engineering experience with at least 3+ years focused on Artificial Intelligence and Generative AI solutions (Open AI preferred).

Strong hands-on development experience with Python and building production-grade backend services.

Experience designing and implementing Large Language Model (LLM) applications utilizing platforms such as OpenAI, Anthropic Claude, Gemini, or Llama.

Proven experience building RAG (Retrieval Augmented Generation) architectures and integrating vector databases.

Deep understanding of LangChain, AI orchestration frameworks, and agent-based architectures.

Experience building and consuming REST APIs, microservices, and event-driven integrations.

Strong knowledge of AI solution architecture, prompt engineering, model evaluation, and AI governance best practices.

Experience integrating AI capabilities into enterprise applications and workflows.

Experience designing scalable, secure, and maintainable enterprise applications.

Ability to communicate architecture decisions and AI strategies to both technical and business stakeholders.