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# AI Engineer

- **Company:** Everforth Apex
- **Location:** Maple Grove, MN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Continuous Integration, Python (Programming Language), Software Engineering, Systems Integration, Chatbots, Large Language Models, Prompt Engineering, Build Management, Information Technology, Production Code, Machine Learning Operations, Virtual Agents, Api Design
- **Published:** June 16, 2026
- **Apply:** https://www.dice.com/job-detail/9bc9bedd-c8c9-4efa-94ef-d77771f1fc66

## About the Role

An emerging technology team focused on developing and deploying AI-driven solutions is seeking an AI Engineer. We are looking for a versatile Software Engineer with AWS experience who can contribute across both traditional application development and emerging AI capabilities. The initial work will be centered on proof-of-concepts for chatbots and LLM-based features, alongside day-to-day development tasks., Education: A BA/BS degree in Computer Science, CIS, MIS, or a related field is required.

Experience: 5+ years in software engineering with experience building and shipping production applications. Experience or familiarity with LLMs, chatbot frameworks, and agentic AI patterns is needed.

Technical Skills: A strong development background in .NET or Python is required, along with hands-on AWS experience with Bedrock. Candidates must have skills in API design, secure integrations, automated testing, and CI/CD pipelines.

Preferred Qualifications

 * Experience with or exposure to RAG pipelines, including embeddings and vector databases (FAISS, Pinecone, OpenSearch).
 * Comfortable with Python alongside .NET for AI/ML-related work.

## Description

* Build and maintain applications in .NET within an AWS environment.
 * Develop proof-of-concepts for chatbot, agentic AI, and LLM use cases, iterating toward production-ready features.
 * Create LLM-based objects and integrations using AWS Bedrock and its available tooling.
 * Design and build tools and features that support chatbot functionality, including conversation flows and tool/function calling.
 * Write production-quality code, including clean APIs, automated testing, and CI/CD pipelines.
 * Collaborate with business stakeholders and engineering teams to define and deliver realistic GenAI solutions.
 * Prototype experiments and harden them into reliable, deployed features.
 * Help establish patterns for prompt engineering, orchestration, and evaluation as AI capabilities mature.
 * Set up and maintain LLMOps workflows, including deployment, monitoring, and cost tracking.
 * Work with security, privacy, and compliance teams to ensure solutions meet enterprise standards.


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