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Java Software Engineer

Job in St. Cloud, Saint Cloud, Stearns County, Minnesota, 56301, USA
Listing for: Programmers.io
Full Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: St. Cloud

Programmers.io is currently looking for an "AI Full Stack Engineer"

Onsite in Minneapolis, MN

Contract Role open for C2C OR W2

Role Overview

We are looking for a Java Full Stack Engineer who partners directly with our business teams to identify high-value problems and deliver AI-led automation and innovation under centralized council oversight.

Key Responsibilities 1. Business Embedding and Outcome Ownership
  • Embed with business and engineering teams to own AI outcomes within a defined business domain.
  • Build and deliver AI solutions hands-on; this is an execution role, not an advisory role.
  • Convert AI potential into production value through code-first delivery and active repository contributions.
2. Problem Discovery and Solution Design
  • Understand business processes, pain points, systems, data flows, and success metrics.
  • Translate problems into MVPs, integrations, automations, and production-ready solutions with an ownership mindset.
  • Build across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.
3. Rapid Prototyping and Value Validation
  • Own the journey from discovery to working solution, rapidly proving business value through pilots and POCs.
Required Skills and Experience
  • 12+ years of experience in engineering, implementation, product, consulting, or customer-facing technology roles.
  • Strong engineering fundamentals with hands-on coding experience in Java.
  • AI proficiency is mandatory; candidates may come from software engineering, data science, UX, or related domains.
  • Daily AI tool usage, demonstrable code contributions, and documented token usage.
  • Strong understanding of APIs, databases, cloud services, authentication, integrations, and deployment.
  • Comfortable with structured and unstructured data.
  • Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, or model integration.
  • Cloud experience across AWS, Azure, or Google Cloud.

If you are interested, please apply or feel free to share your updated resume at anas.khan

#J-18808-Ljbffr
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