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Ai Agent Developer Jobs in Minnesota (NOW HIRING)

AI Engineer

Minneapolis, MN · On-site

$100K - $135K/yr

Ship the in-app agent layer that helps families coordinate: proactive nudges, smart suggestions ... Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and observability.

Ship the in-app agent layer that helps families coordinate: proactive nudges, smart suggestions ... Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and observability.

Ship the in-app agent layer that helps families coordinate: proactive nudges, smart suggestions ... Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and observability.

AI & Automation Engineer

Minneapolis, MN · On-site

$90K - $120K/yr

Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services). * Programming Skills: Proficiency in at least one programming or ...

Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services). Programming Skills: Proficiency in at least one programming or scripting ...

Azure AI Foundry, Google Vertex) • Familiarity with agent frameworks, agentic workflows, and ... Mortenson is a U.S.-based, top-25 builder, developer and provider of energy and engineering ...

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We ... Build agentic AI systems including single-agent and multi-agent workflows capable of tool use ...

Knowledge of G&M codes, ideally with Mitsubishi controls/programming. * Math skills and blueprint ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

... agent (A2A) communication, tool use, and orchestration. * Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable coding agents ...

Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

... of AI engineers and reporting to senior leadership. o At least 5 years of hands-on experience ... semi-automated agent decision engines while ensuring that systems are scalable, secure, and ...

Showing results 41-60

Ai Agent Developer information

See Minnesota salary details

$28.4K

$46.9K

$97.5K

How much do ai agent developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai agent developer in Minnesota is $46,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $50,000.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
What are the most commonly searched types of Ai Agent Developer jobs in Minnesota? The most popular types of Ai Agent Developer jobs in Minnesota are:
What are popular job titles related to Ai Agent Developer jobs in Minnesota? For Ai Agent Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Minnesota look for? The top searched job categories for Ai Agent Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Agent Developer jobs? Cities in Minnesota with the most Ai Agent Developer job openings:
Infographic showing various Ai Agent Developer job openings in Minnesota as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $46,944 per year, or $22.6 per hour.

AI Engineer

In Tandem

Minneapolis, MN • On-site

$100K - $135K/yr

Full-time

Retirement, PTO

Re-posted 23 days ago


Job description

Description
At In Tandem, we build technology that helps families manage everyday routines and navigate life’s biggest transitions. Through our four brands—OurFamilyWizard, Cozi, FamilyWall, and Custody Navigator—we help families stay organized, communicate well, and foster healthy childhoods.  
We believe technology should strengthen relationships and make daily coordination less complicated. Everything we create is designed to lighten the mental load, reduce conflict, and support families through big and small moments.  
If you want your work to make a real difference in the daily lives of parents and kids, In Tandem is the place where your impact will truly matter.   
As our AI Engineer, you'll keep the AI infrastructure our products and teams run on fast, efficient, and reliable, and you'll build with it. You'll run and optimize our self-hosted inference stack on our own GPU hardware, build the internal platform our employees work through, and ship user-facing agents inside the apps. Your work spans OurFamilyWizard, Cozi, and FamilyWall, and the platforms that power how we build. 
This is a hands-on technical role at its core: you own the technical side of running our models on our own hardware. But it's not siloed, and we don't want it to be. We're looking for someone who also wants to pick up app-layer work and ship product-facing features, and does both well. 

What you will accomplish:
Run and optimize our self-hosted inference stack 
  • Run the inference serving layer on our own GPU hardware: choose and tune the serving stack (vLLM, SGLang, TensorRT-LLM) for high throughput and low latency. 
  • Optimize aggressively: tensor parallelism, quantization (FP8, AWQ, GPTQ), KV-cache and prefix caching, continuous batching, speculative decoding, concurrency tuning. 
  • Serve multiple models and features off shared hardware: multi-LoRA, routing, and request scheduling that balances internal workloads against latency-sensitive product traffic. 
Keep our AI fast, efficient, and observable 
  • Make our AI workloads efficient: improve latency, throughput, and GPU utilization so we get the most out of what we run. 
  • Build the visibility: instrument performance and usage across our AI surfaces so there's clear data on how everything is running. 
  • Surface the technical tradeoffs (performance, latency, efficiency) so the people making the calls have what they need to make them. 
Build AI features and proactive agents 
  • Ship the in-app agent layer that helps families coordinate: proactive nudges, smart suggestions, agents that summarize, draft, schedule, and act for busy parents. 
  • Build the substrate underneath: tools, memory, orchestration, guardrails, and evaluation harnesses, integrated cleanly with production APIs alongside our architecture team. 
  • Work in nimble pairs with feature owners, standing up whatever's needed to test an idea, including a vibe-coded UI when that's the fastest path to a real customer. Ship rough, learn fast, harden what works. 

Who you are:
  • Technical and hands-on with infrastructure: you like running real systems on real hardware and keeping them fast and reliable. 
  • A full-stack builder who wants the app layer too: you don't want to be boxed into infra. When a feature needs shipping, you want to pick it up and ship it, not just hand it off. 
  • Performance-minded: you treat latency, throughput, and efficiency as things to engineer deliberately. 
  • Rapid-prototyping and AI-first, with modern tooling (Claude Code, agent SDKs) part of your craft. 
  • Motivated by work that matters. Families rely on these products during real moments in their lives. 

What you bring:
  • 5+ years shipping production software, including meaningful applied AI or ML work. 
  • Demonstrated experience running and optimizing self-hosted LLMs on dedicated multi-GPU hardware: a serving stack (vLLM, SGLang, or TensorRT-LLM) and the optimization that comes with it (tensor parallelism, quantization, batching, KV cache). 
  • A track record of optimizing inference performance and efficiency (latency, throughput, GPU utilization). 
  • Strong Python and engineering fundamentals, with the full-stack range to stand up a quick UI, and the genuine desire to work app-layer features and not only infra. 
  • Hands-on with agent frameworks (Claude Agent SDK, LangGraph, or similar), LLM APIs, embeddings, and RAG. 
  • Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and observability. 
  • Experience building internal tooling or platforms others depend on. Bonus for Slack apps, MCP, or agent orchestration at team scale. 
Why Join? 
We’re redefining family technology.  
In Tandem brings together a growing portfolio of trusted tools that support families, and the professionals who guide them, through the moments that matter most. We bring clarity to chaos and stability to daily family life, helping parents feel less stressed so kids can have healthier childhoods.  

Scale meets startup energy.  
With more than 20 years of impact and a strong market presence, we’re entering a bold new chapter of growth. We have the foundation, the momentum, and the ambition to go further: expanding our reach, deepening our impact, and elevating the tools families and professionals rely on every day.  
Purpose-driven. Performance-focused. People-first.  
Our culture is rooted in accountability, curiosity, and collaboration. We value diverse perspectives, thoughtful problem-solving, and teammates who care deeply about building something that matters. 
How we support you: 
  • Medical: In Tandem pays 100% of the premium for employees AND 99% for all additional family members 
  • 401k: Up to a 4% match with immediate vesting   
  • Paid leave for all new parents   
  • Learning & Development stipend for employees   
  • Paid Time Off: 11 Holidays + Winter Break (3 Days) + Volunteer Time Off (1 Day) + Floating Holiday (1 Day) 
  • Personal Time Off: 15 days for 0-1 years of employment, 20 days 1-3 years of employment
  • Supportive and flexible working environment – work from anywhere!   

Come As You Are! 
In Tandem provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.