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Llm Developer Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Apply best practices for LLM security, including output moderation, access control, and ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Apply best practices for LLM security, including output moderation, access control, and ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

Blank Metal Inc

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Leverage LLM frameworks, vector databases, and prompt engineering to solve real problems * Integrate cloud AI services and build custom AI tooling when needed * Ship production-grade code that ...

Thomson Reuters

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

Familiarity with LLM frameworks and patterns (e.g., LangChain, LlamaIndex), RAG/vector search concepts, and enterprise integration considerations. * Experience with DevOps/Platform Engineering/SRE ...

Centraprise

AI- FSD Developer

Minneapolis, MN · On-site

... LLM/agent runtimes, or data platforms via APIs. • Strong problem-solving skills and ability to ... with prompt engineering and tool/function calling. • Experience with observability for AI ...

THOMSON REUTERS

Lead AI Forward Engineer

Eagan, MN · Remote

$104K - $137K/yr

Familiarity with LLM frameworks and patterns (e.g., LangChain, LlamaIndex), RAG/vector search concepts, and enterprise integration considerations. * Experience with DevOps/Platform Engineering/SRE ...

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How much do llm developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for llm developer in Minnesota is $49.13, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $59.57 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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What are popular job titles related to Llm Developer jobs in Minnesota? For Llm Developer jobs in Minnesota, the most frequently searched job titles are:
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Llm Developer jobs near you
Software Engineer - LLM Infrastructure

Software Engineer - LLM Infrastructure

Swoop Search

Minneapolis, MN • On-site

$180K - $214K/yr

Full-time

Re-posted 23 days ago

Job description

About Swoop:
Swoop Technologies has a mission to organize and make accessible the world's military and critical infrastructure. We are building a distributed operating system, SwoopOS, that decomposes the world's equipment into a distributed robotic embodiment upon which a new generation of distributed systems, autonomous systems, and agentic AI can be built and deployed using our SDK, Valhalla, and operated via our browser, Surf. Imagine the world's equipment - consisting of the electrical grid, communications architectures, manufacturing facilities, and militaries as a trapped supply of inputs possessing the potential to ensure Western military advantage, sovereign control of economically competitive manufacturing capacity, or the creation of a grid that fosters energy dominance. Swoop is liberating these trapped assets, allowing them to contribute to the world's future as a series of building blocks to be combined at the speed of software, limited by only the hard constraints of physics and the soft constraints of safety. That is what Swoop is building. Not in the data center or cloud or edge on-premise computing node. In the physical world. This is a hybrid position that requires someone based in Minneapolis/St. Paul OR Washington, DC who can work in-office 3+ days per week
Impact:
Swoop's operating system challenges many paradigms defining a scalable API. Management, security, and interoperability each will be re-imagined in how Swoop OS's expose interfaces to inputs and outputs within the stack. In this role, you will develop, maintain, and scale Swoop's self-hosted, custom-tuned LLM. A key objective is advancing how the model understands and represents complex system interactions, providing context-aware insights into system behavior, dependencies, and operational dynamics. You will enable users to ask natural, unconstrained questions about their infrastructure and systems, receiving precise, insight-driven responses. The ultimate goal is to accelerate decision making and drive greater autonomy across distributed infrastructure powered by Swoop OS.
What You'll Do:
  • Develop and maintain Swoop's LLM offering
  • Expand the capabilities of the LLM to interact with the system via tool calls
  • Expand the data searching capabilities of the LLM
  • Work hand-in-hand with frontend developers to build out new LLM features and improve existing ones
  • Monitor the resource usage of installations and make sure that the LLM offering is as efficient and fast as possible given the inference hardware available
  • Maintain and optimize inference engine architecture
  • Tune data storage configurations to optimize for scale and near real-time availability in a streaming architecture
  • Ensure our services have strong availability and service level agreements across our code base, especially as it pertains to the runtime of our Kubernetes cluster in production

You Should Have:
  • Bachelor's degree in Computer Science or related technical field, or equivalent technical experience
  • Firm understanding of scalable large language model infrastructure
  • Experience with low-level NVIDIA drivers and NVIDIA Kubernetes Container Toolkit
  • Familiarity with designing RAG information retrieval systems and time-series anomaly detection
  • Experience with PyTorch, training and fine-tuning Machine Learning models for resource-light environments
  • Experience with Kubernetes in a production environment
  • Proficient Python coding ability with good understanding of data structures and data models
  • Active US Security clearance or ability and willingness to be sponsored for a US Security clearance

Bonus if you have:
  • Experience with on premise or self-hosted AI
  • Experience with numerous GPUs and understanding of performance characteristics
  • Experience standing up inference engines such as vLLM

Swoop Technologies is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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