Lead Software Engineer, AI
Eagan, MN · Hybrid
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
Eagan, MN · Hybrid
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
Eagan, MN · Hybrid
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...
Minneapolis, MN · On-site
... retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer ...
Minneapolis, MN · On-site
... retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer ...
Brooklyn Park, MN · On-site
$98K - $176K/yr
Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources, vector search technologies, and semantic retrieval. * Optimize AI applications for response quality ...
Brooklyn Park, MN · On-site
$98K - $176K/yr
Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources, vector search technologies, and semantic retrieval. * Optimize AI applications for response quality ...
Minneapolis, MN · On-site
... retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer ...
Minneapolis, MN · On-site
... retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer ...
... retrieval augmented generation, supervised fine-tuning, in-context learning, harness engineering, and multi-agent systems. - Passion for building responsible, scalable, and user-focused AI systems ...
... retrieval augmented generation, supervised fine-tuning, in-context learning, harness engineering, and multi-agent systems. - Passion for building responsible, scalable, and user-focused AI systems ...
Eden Prairie, MN · On-site
$59.75 - $81.25/hr
... Retrieval-Augmented Generation (RAG), structured outputs, function calling, and Human-ON-the-Loop (HOTL) workflows • Experience with agent and LLM ecosystem tools: Google Agent Development Kit (ADK ...
Eden Prairie, MN · On-site
$59.75 - $81.25/hr
... Retrieval-Augmented Generation (RAG), structured outputs, function calling, and Human-ON-the-Loop (HOTL) workflows • Experience with agent and LLM ecosystem tools: Google Agent Development Kit (ADK ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...
Minneapolis, MN · On-site
$98K - $176K/yr
Build Retrieval-Augmented Generation (RAG) solutionsleveragingenterprise knowledge sources, vector search technologies, and semantic retrieval. * OptimizeAI applications for response quality, latency ...
Minneapolis, MN · On-site
$98K - $176K/yr
Build Retrieval-Augmented Generation (RAG) solutionsleveragingenterprise knowledge sources, vector search technologies, and semantic retrieval. * OptimizeAI applications for response quality, latency ...
Minneapolis, MN · On-site
$108K - $146K/yr
Experience with RAG (Retrieval-Augmented Generation) systems * Familiarity with vector databases (Pinecone, Weaviate, Chroma, etc.) * Experience contributing to frontend features using modern ...
Minneapolis, MN · On-site
$108K - $146K/yr
Experience with RAG (Retrieval-Augmented Generation) systems * Familiarity with vector databases (Pinecone, Weaviate, Chroma, etc.) * Experience contributing to frontend features using modern ...
Familiarity with Gen AI and agentic AI solution patterns, including prompt design, retrieval-augmented generation, workflow orchestration, tool/action integration, model evaluation, human-in-the-loop ...
New
Familiarity with Gen AI and agentic AI solution patterns, including prompt design, retrieval-augmented generation, workflow orchestration, tool/action integration, model evaluation, human-in-the-loop ...
New
Minneapolis, MN · On-site
$96K - $123K/yr
Define business requirements, evaluate outputs, and provide technical leadership to ensure solutions effectively support R&D workflows and business needs. • Support retrieval-augmented generation ...
Minneapolis, MN · On-site
$96K - $123K/yr
Define business requirements, evaluate outputs, and provide technical leadership to ensure solutions effectively support R&D workflows and business needs. • Support retrieval-augmented generation ...
Minneapolis, MN · Hybrid
$119K - $149K/yr
Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...
Minneapolis, MN · Hybrid
$119K - $149K/yr
Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...
Edina, MN · On-site
Experience with artificial intelligence, machine learning, generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent automation, or analytics platforms preferred.
Edina, MN · On-site
Experience with artificial intelligence, machine learning, generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent automation, or analytics platforms preferred.
... Retrieval-Augmented Generation (RAG), embeddings/vector search, document extraction tools (Azure Document Intelligence, Textract, DocAI), LangChain/LlamaIndex, and production MLOps. o Strong SQL ...
New
... Retrieval-Augmented Generation (RAG), embeddings/vector search, document extraction tools (Azure Document Intelligence, Textract, DocAI), LangChain/LlamaIndex, and production MLOps. o Strong SQL ...
New
Minnetonka, MN · On-site +1
$91K - $163K/yr
Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems *All employees working remotely will be required to adhere to ...
Minnetonka, MN · On-site +1
$91K - $163K/yr
Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems *All employees working remotely will be required to adhere to ...
Minneapolis, MN · On-site
$119K - $143K/yr
Experience building lightweight internal tools, agents, skills, or workflows that orchestrate LLM calls (e.g., prompt templates, retrieval-augmented generation, or scripted helpers for teammates)
Minneapolis, MN · On-site
$119K - $143K/yr
Experience building lightweight internal tools, agents, skills, or workflows that orchestrate LLM calls (e.g., prompt templates, retrieval-augmented generation, or scripted helpers for teammates)
Saint Paul, MN · Hybrid
$105K - $145K/yr
Strong understanding of modern AI stacks including APIs, foundation models, vector databases, orchestration tools, and retrieval-augmented generation (RAG) patterns. * Ability to build ...
Saint Paul, MN · Hybrid
$105K - $145K/yr
Strong understanding of modern AI stacks including APIs, foundation models, vector databases, orchestration tools, and retrieval-augmented generation (RAG) patterns. * Ability to build ...
Comfortable with AI technologies, including GenAI concepts like prompt engineering, agentic system design, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and LLM orchestration ...
Comfortable with AI technologies, including GenAI concepts like prompt engineering, agentic system design, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and LLM orchestration ...
Comfortable with AI technologies, including GenAI concepts like prompt engineering, agentic system design, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and LLM orchestration ...
New
Comfortable with AI technologies, including GenAI concepts like prompt engineering, agentic system design, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and LLM orchestration ...
New
$110K - $150K/yr
Experience preparing governed structured data for AI/ML, GenAI, Retrieval-Augmented Generation (RAG), semantic search, copilots, or agentic workflows preferred. * Experience within healthcare, ...
$110K - $150K/yr
Experience preparing governed structured data for AI/ML, GenAI, Retrieval-Augmented Generation (RAG), semantic search, copilots, or agentic workflows preferred. * Experience within healthcare, ...
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 11 days ago
8.9
Based on 19 frontline employees who took The Breakroom Quiz
30th of 481 rated business services
Lead Software Engineer, AI
Are you passionate about building AI-driven software that transforms how professionals work?
Join our fast-moving, forward-thinking group that is creating AI-driven software for professionals through our investigative platform, CLEAR (Consolidated Lead Evaluation and Reporting), which empowers users to search and analyze billions of public and proprietary records from a unified interface. We invest deeply in AI technologies and explore emerging fields with the backing of Thomson Reuters, a global leader. As a Lead Software Engineer - AI, you will play a lead role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs, and user interfaces-developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
About the Role
In this opportunity as a Lead Software Engineer, AI, you will:
Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning; lead full-stack development from AI orchestration and RAG through API gateways, microservices, and modern web UIs.
Drive innovation and technical strategy - Lead evaluation and adoption of cutting-edge AI techniques; oversee proof-of-concept work and technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps; represent the organization at industry conferences and events.
Provide senior technical leadership - Lead architecture decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers; champion MLOps and LLMOps practices and governance for the AI model lifecycle.
Ensure quality, security, and operational excellence - Design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements; establish governance for AI model lifecycle management.
Lead cross-functional collaboration - Partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications; optimize performance for latency, cost, and user experience; influence product strategy through deep technical expertise.
About You
You're a fit for the role of Lead Software Engineer, AI if you have the following required qualifications:
Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's degree preferred), and 8+ years of software engineering experience with at least 4 years in senior or lead roles focused on AI/ML.
Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI or RAG or LLMs - including solution discovery, architecture, agentic tools, evaluation, deployment, lifecycle, and metrics.
Strong proficiency in backend services and APIs.
Expert-level proficiency in an object orientated programming and extensive experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX); deep understanding of ML principles, evaluation methodologies, and distributed systems; and the full lifecycle of enterprise AI applications.
Advanced experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); demonstrated ability to integrate AI models into large-scale production systems via APIs, data pipelines, and cloud-native architectures.
Strong leadership and mentoring experience; excellent strategic thinking and problem-solving; outstanding communication and presentation skills with experience influencing senior stakeholders.
Additional preferred qualifications include:
Experience leading teams building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic).
Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval; domain expertise in legal, tax, accounting, or regulated industries (e.g., investigative or large-scale search platforms).
Track record of successful AI product launches and scaling AI systems to enterprise customers; experience with AI governance, model risk management, and regulatory compliance; publications, patents, or speaking experience in AI/ML.
#LI-ES1
What's in it For You?
Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com
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