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Llm Developer Jobs in Minnesota (NOW HIRING)

Scalable Systems

AI-lead DevSecOps Leader

Minneapolis, MN · On-site

$146K - $179K/yr

Chicago, IL & Minneapolis, MN Purpose Lead the AI engineering and delivery function and own the end-to-end AI delivery lifecycle, including development, DevOps, AI Ops, and LLM Ops for industrial ...

Wipro Limited

DEVELOPER L3(CONTRACT)

Minneapolis, MN · On-site

$45K - $121K/yr

DEVELOPER L3(CONTRACT) City: Minneapolis State/Province: Minnesota Posting Start Date: 7/8/26 Wipro ... AI Builders / SQL LLM (Rating: 3): Basic understanding of AI-based SQL automation tools. Nice to ...

RAPID EAGLE INC

AI Engineer

Minneapolis, MN · On-site

$60 - $70/hr

Health insurance AI Engineer Onsite Minneapolis MN Skills:- Context Role spans AI engineering Tech ... Hands-on experience working with LLMs in production (general LLM best practices; not strictly RAG)

Kobie Marketing

AI Engineer

Minneapolis, MN · Remote

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Augeo

.NET Developer

Saint Paul, MN · On-site

$100K - $110K/yr

NET Developer will be responsible for developing, testing, and implementing software solutions to ... Familiarity with LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock) and AI agent development concepts ...

Augeo Affinity Marketing

.NET Developer

Saint Paul, MN · On-site

$48 - $63.25/hr

NET Developer will be responsible for developing, testing, and implementing software solutions to ... Familiarity with LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock) and AI agent development concepts ...

Augeo Affinity Marketing, Inc.

.NET Developer

Saint Paul, MN

$48 - $63.25/hr

NET Developer will be responsible for developing, testing, and implementing software solutions to ... Familiarity with LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock) and AI agent development concepts ...

Apex Systems

AI Engineer

Maple Grove, MN · On-site

Job#: 3037167 AI Engineer Location: Maple Grove, Minnesota (Remote) Role Overview An emerging ... Create LLM-based objects and integrations using AWS Bedrock and its available tooling. * Design and ...

TEKsystems

QA Engineer

Minneapolis, MN · On-site +1

$75 - $85/hr

... LLM applications). The role is cloud-native by design: AI workloads are tested where they run ... The engineer partners closely with data scientists, ML engineers, and product teams to shift ...

Vizient

Senior Software Engineer

Minneapolis, MN

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

Vizient, Inc.

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

Vizient, Inc.

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You ...

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How much do llm developer jobs pay per hour?

As of Jul 14, 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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Llm Developer jobs near you
AI Evaluation & Benchmarking Engineer IRC299413

AI Evaluation & Benchmarking Engineer IRC299413

GlobalLogic

Minneapolis, MN • On-site

Full-time

Posted 13 days ago

GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Job Summary:
GlobalLogic is a trusted digital engineering partner to the world’s largest and most forward-thinking companies, and they are seeking an AI Evaluation & Benchmarking Engineer. This role focuses on developing and integrating algorithms into an AI evaluation platform, designing experiments, and analyzing performance metrics within video game environments.
Responsibilities:
• Develop, adapt, and integrate reinforcement learning algorithms and baseline approaches into the shared evaluation platform.
• Integrate LLM-based agents and/or evaluators for solving, interacting with, and benchmarking game environments.
• Integrate external or off-the-shelf algorithms into the platform using defined execution and ingestion workflows.
• Design and run benchmark experiments across games, environments, configurations, agents, and algorithm versions.
• Define evaluation strategies for comparing RL, LLM-based, hybrid, and baseline approaches.
• Define, extract, and validate meaningful performance metrics from logs, outputs, run results, and environment interactions.
• Build comparison logic, scoring approaches, rankings, verdicts, and performance summaries.
• Develop analytics and visualizations to evaluate algorithm performance across runs and environments.
• Act as a primary power user of the platform, running experiments and identifying gaps in tooling, APIs, metrics, workflows, logs, and user experience.
• Provide structured feedback to Platform and Full Stack engineers to improve execution, logging, evaluation, and reporting capabilities.
• Validate existing game environments and support development or validation of new game environments.
• Evaluate environment operability using baseline/reference frontier LLM models, harnesses, and agents.
• Collaborate with client technical teams and engineering resources within 3M-owned repositories, workflows, infrastructure, and security processes.
• Ensure all algorithms, experiments, notebooks/scripts, configuration, documentation, and outputs comply with 3M-defined standards and policies.
Qualifications:
Required:
• Hands-on reinforcement learning experience.
• Experience using LLMs for agents, evaluation, reasoning, automation, or benchmark workflows.
• Strong Python experience for ML, data workflows, experimentation, and analysis.
• Experience designing and running experiments with statistical and analytical rigor.
• Strong understanding of evaluation metrics, scoring frameworks, performance comparison, and benchmark design.
• Experience analyzing structured logs, run outputs, model/agent performance, and experiment results.
• Ability to work across APIs, logs, CLI/tools, data structures, and platform workflows.
• Strong communication skills to translate experiment findings into platform improvement requirements.
• Ability to work inside client-owned repositories, infrastructure, workflows, and security controls.
Preferred:
• Experience with game environments, simulation environments, Gym-like interfaces, RL environments, or agentic AI test harnesses.
• Experience benchmarking LLM agents, RL policies, autonomous agents, or hybrid AI systems.
• Experience with experiment tracking, run comparison tools, metrics dashboards, or evaluation pipelines.
• Experience with prompt engineering, agent orchestration, tool use, and LLM evaluation frameworks.
• Experience with data visualization and performance analytics.
• Experience working with externally developed algorithms, reproducible experiments, and version-controlled evaluation workflows.
Company:
GlobalLogic is a product development services company that specializes in chip-to-cloud software engineering. It is a sub-organization of Hitachi. Founded in 2000, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What GlobalLogic employees say

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Benefits

Hours and flexibility

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