Artificial Intelligence Engineer

Our client is building an emerging technology team focused on developing and deploying AI-driven solutions. We are currently looking to add two AI Engineers and are open to either hiring one senior and one mid-level resource, or two senior-level engineers.

This is a remote role, but they do need to be in MN, so they can meet to collaborate occasionally. Likely 1-2 times a quarter.

We're looking for a strong Software Engineer with hands-on AWS experience who can contribute across both traditional application development and emerging AI capabilities. Early work will be POC-heavy around chatbots and LLM-based features, but you'll also be doing real, day-to-day development work. We need someone versatile who can move between both worlds without getting siloed.

• Build and maintain applications in .NET within an AWS environment
• Develop proof-of-concepts around chatbot, agentic AI, and LLM use cases, then iterate toward production-ready features
• Create LLM-based objects and integrations using AWS Bedrock and its available tooling (agents, knowledge bases, model invocation)
• Design and build tools and features that support chatbot functionality — conversation flows, tool/function calling, and integration with existing enterprise systems
• Write production-quality code — clean APIs, automated testing, CI/CD pipelines, and maintainable architecture
• Collaborate across teams — work with business stakeholders to understand what's realistic with GenAI, and with engineering teams to deliver it
• Prototype fast, then harden — move from quick experiments to reliable, deployed features
• Help establish patterns for prompt engineering, orchestration, and evaluation as AI capabilities mature across the team
• Work with business teams to understand what they need from GenAI, help figure out what's realistic, and map out how to build it.
• Build and own chatbot and agentic AI solution
• Evaluate and select the right models for the job based on latency, cost, data privacy needs, and output quality. Stay current on what's available across providers.
• Set up and maintain LLMOps workflows — deployment pipelines, monitoring, prompt versioning, evaluation frameworks, incident response, and cost tracking across environments.
• Work with security, privacy, and compliance teams to make sure everything meets enterprise standards (HIPAA, GDPR, internal policies, etc.).
• Help level up other engineers through pairing, code reviews, and design sessions. Set clear patterns for prompt engineering, orchestration frameworks (Lang Chain, Semantic Kernel, etc.), and evaluation-driven development.
• Write and maintain engineering standards for GenAI work — coding standards, prompt/policy guidelines, evaluation gates, and release checklists.
• Communicate technical decisions and trade-offs clearly to both engineers and non-technical stakeholders.

• Strong .NET or Python development background — required
• Hands-on AWS experience with Bedrock
• 5+ years in software engineering with solid experience building and shipping production applications
• Experience or strong familiarity with LLMs, chatbot frameworks, and agentic AI patterns
• Comfortable with Python alongside .NET for AI/ML-related work
• Solid skills in API design, secure integrations, automated testing, and CI/CD pipelines
• Experience with or exposure to RAG pipelines — embeddings, vector databases (FAISS, Pinecone, Open Search), and retrieval tuning
• Able to context-switch between standard feature development and AI prototyping without losing momentum
• Good communicator — can explain technical trade-offs in plain language to both engineers and business stakeholders
• Comfortable working in Agile with cross-functional teams
• BA/BS required (CS, CIS, MIS, or related)