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Java Full Stack (Forward Deployed Engineer_GitHub Copilot, LangChain, LangGraph)

W2 | Onsite RoleJava Full Stack (Forward Deployed Engineer_GitHub Copilot, LangChain, LangGraph)
Position Title: Java Full Stack (Forward Deployed Engineer)
Location: Minneapolis, MN
Duration: 12+ Months Contract
Position Type: W2 Role Exp Level- 10+Years Req Skills- Forward Deployed Engineer (FDE), Java, full-stack, TypeScript/JavaScript, Node.js, C#/Python, APIs, microservices, cloud-native applications, React, GitHub Copilot, Claude Code/Codex, LangChain, LangGraph, Agent SDKsOverviewWe are seeking a Forward Deployed Engineer (FDE) with 10+ 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: 10+ 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.
Preferred Qualifications: 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.
Ideal Candidate: 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.