Sr. AI Fullstack Engineer (Quality)- IND

Insight Global; Arden Hills (MN); On-site; USD 140,000 - 210,000; Full time

Job summary

Insight Global in Minneapolis, MN is seeking a Senior AI Engineer to design and build production-grade generative AI applications from the ground up. This role focuses on robust, scalable systems using LLM frameworks, RAG, and agentic workflows, with end-to-end ownership of solutions.

You will create reusable microservices, tackle data orchestration challenges, and work with modern AI tooling to deliver reliable GenAI capabilities at scale.

Qualifications

• 5+ years of proven experience building and deploying generative AI applications in production.
• Strong Python, API development, and system design fundamentals.
• Deep knowledge of LLMs, prompting, RAG, agents, evaluation, and observability.
• Hands-on experience with vector databases and scalable enterprise-grade systems.
• Ability to operate confidently in ambiguous problem spaces and drive technical decisions.

Responsibilities

• Design and build production-grade GenAI applications end-to-end.
• Develop reusable microservices and integrate LLM frameworks.
• Solve data orchestration challenges and scale systems.
• Guide technical decisions and own solutions end-to-end.

Skills

Python

API development

System design

LLMs

Prompting

RAG

Agents

Evaluation

Observability

Vector DBs

Scalable systems

Job description

Job Description

We are seeking a Senior AI Engineer to design and build production grade generative AI applications from the ground up. This role focuses on engineering robust, scalable systems that leverage LLM based tools, retrieval augmented generation, and agentic workflows. The engineer will create reusable microservices, work extensively with modern LLM frameworks, solve complex data and orchestration challenges, and guide technical decisions while owning solutions end to end. This position centers on applied GenAI engineering rather than model training or research.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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 [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of Proven experience building and deploying generative AI applications in production
• -Strong Python, API development, and system design fundamentals
• -Deep knowledge of LLMs, prompting, RAG, agents, evaluation, and observability
• -Hands on experience with vector databases and scalable enterprise grade systems
• -Ability to operate confidently in ambiguous problem spaces and drive technical decisions