Full Stack Engineer

Java Full Stack Engineer - AI-enabled application development

Location: Minneapolis, MN (Onsite)

Full Time Role

Must Have:

• Experience with LangChain, LangGraph, Agent SDKs, or multi-agent frameworks.

• Exposure to AI agents, workflow automation, or LLM-powered applications.

• Understanding of DevOps, CI/CD, and modern software delivery practices.

• Experience in Healthcare, PBM, Insurance, or other regulated industries is a plus.

Overview

A traditional full-stack software engineer who has expanded into AI-enabled application development, rather than a data scientist transitioning into software engineering. Candidates should be curious, adaptable, and comfortable working in fast-paced, customer-facing environments.

We are seeking a FSD with 3-7 years of software engineering experience to build and deploy modern, AI-enabled business applications. This role is ideal for a hands-on full-stack developer who combines strong software engineering fundamentals with an interest in emerging AI technologies and customer-focused solution delivery.

Key Responsibilities

• Design, develop, and deploy end-to-end business applications.

• Build scalable APIs, microservices, and cloud-native solutions.

• Develop front-end applications using React or similar frameworks.

• Collaborate with stakeholders to understand business requirements and deliver solutions.

• Leverage AI-assisted development tools and modern engineering practices to accelerate delivery.

• Participate in Agile development and contribute to CI/CD and DevOps initiatives.

Required Qualifications

• 3-7 years of software engineering experience.

• Strong background in Java and full-stack application development.

• Experience with one or more of the following: TypeScript/JavaScript, Node.js, C#, or Python.

• Hands-on experience building APIs, microservices, and cloud-native applications.

• Front-end development experience using React or similar frameworks.

• Knowledge of Azure, Azure OpenAI, OpenAI, or other modern AI platforms.

• Experience using AI-assisted coding tools such as GitHub Copilot, Claude Code, or Codex.

• Strong communication, problem-solving, and stakeholder engagement skills.