GeoSpatial Engineer MAP
Spectraforce
Minneapolis, MN, United States
3 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
0 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Java (Programming Language)
JavaScript (Programming Language)
Agile Methodology
Artificial Intelligence
Microsoft Azure
Business Software
C Sharp (Programming Language)
Cloud Computing
Continuous Integration
DevOps
Python (Programming Language)
+16 more
Node.Js
OpenAI
Software Engineering
TypeScript
Spring Cloud
GitHub Copilot
ReactJS
Large Language Models
Claude Code
Multi-Agent Systems
Agentic-AI
Build Management
Front End Software Development
Api Design
Restful APIs
Microservices
Job description
- 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.
Requirements
We are seeking a Forward Deployed Engineer (FDE) 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., * 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., * 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., 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.
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