Ann Arbor, MI · On-site
$119K - $158K/yr
Build and ship AI-driven systems - Contribute to the design and implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures ...
Ann Arbor, MI · On-site
$119K - $158K/yr
Build and ship AI-driven systems - Contribute to the design and implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures ...
Dearborn Heights, MI · On-site
$97K - $132K/yr
Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and ...
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Dearborn Heights, MI · On-site
$97K - $132K/yr
Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and ...
Farmington Hills, MI · On-site
$81K - $109K/yr
Familiarity with Semantic Index , retrieval-augmented generation (RAG) concepts, and how Copilot grounds responses in enterprise data. * Experience conducting oversharing/permissions audits and ...
Farmington Hills, MI · On-site
$81K - $109K/yr
Familiarity with Semantic Index , retrieval-augmented generation (RAG) concepts, and how Copilot grounds responses in enterprise data. * Experience conducting oversharing/permissions audits and ...
Warren, MI · On-site
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks ...
Warren, MI · On-site
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks ...
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks ...
... RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks ...
Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions. * Build and maintain MCP (Model Context Protocol) integrations, tool-calling ...
Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions. * Build and maintain MCP (Model Context Protocol) integrations, tool-calling ...
Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...
Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...
Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...
Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems. * Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN). * Experience with Kafka ...
Dearborn, MI · On-site
Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals.Identify and troubleshoot dealer-reported ...
Dearborn, MI · On-site
Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals.Identify and troubleshoot dealer-reported ...
Auburn Hills, MI · On-site
Retrieval-Augmented Generation (RAG) systems * Internal AI services and APIs * Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise ...
Auburn Hills, MI · On-site
Retrieval-Augmented Generation (RAG) systems * Internal AI services and APIs * Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise ...
Ann Arbor, MI · On-site
$42.06 - $46.73/hr
Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response ...
Ann Arbor, MI · On-site
$42.06 - $46.73/hr
Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Livonia, MI · On-site
Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data. * Develop and refine prompts, system instructions, and evaluation ...
Livonia, MI · On-site
Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data. * Develop and refine prompts, system instructions, and evaluation ...
Livonia, MI · On-site
Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data. * Develop and refine prompts, system instructions, and evaluation ...
Livonia, MI · On-site
Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data. * Develop and refine prompts, system instructions, and evaluation ...
Detroit, MI · On-site
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Detroit, MI · On-site
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Detroit, MI · On-site
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Detroit, MI · On-site
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Retrieval-Augmented Generation (RAG) * Machine Learning lifecycle concepts * Strong communication and collaboration skills with technical and non-technical stakeholders. Preferred Qualifications:
Retrieval-Augmented Generation (RAG) * Machine Learning lifecycle concepts * Strong communication and collaboration skills with technical and non-technical stakeholders. Preferred Qualifications:
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$119K - $158K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 8 days ago
8.9
Based on 22 frontline employees who took The Breakroom Quiz
35th of 500 rated business services
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 Senior Software Engineer, AI, you will play a hands-on 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-building 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 Senior Software Engineer, AI, you will:
Build and ship AI-driven systems -Contribute to the design and implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning; develop full-stack features from AI orchestration and RAG through API gateways, microservices, and modern web UIs, in partnership with tech leads and architects.
Explore and apply emerging AI practices -Evaluate and help adopt new AI techniques; contribute to proof-of-concept work and technical feasibility for AI-driven features; stay current with AI research and apply practical insights to implementation; optionally participate in internal tech talks or community learning.
Provide technical depth and collaboration -Participate in architecture and design discussions; translate business requirements into clear technical approaches alongside your team; mentor and support other engineers; follow and help improve MLOps and LLMOps practices for the AI model lifecycle.
Ensure quality, security, and operational excellence -Implement testing, monitoring, and observability for AI systems; follow ethical AI, security, and regulatory requirements; support governance for AI model lifecycle management in production.
Partner across disciplines -Work closely with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications; optimize performance for latency, cost, and user experience; bring strong technical judgment to roadmap and feature discussions.
About You
You're a fit for the role of Senior Software Engineer, AI if you have the following required qualifications:
Bachelor's degree in Computer Science, Engineering, or equivalent experience, and 5+ years of software engineering experience with at least 2 years hands-on building production AI/ML or GenAI features (RAG, LLMs, agents, or similar)-as a software engineer, not primarily as a data scientist or ML researcher.
Proven track record delivering software with AI expertise, including experience across the lifecycle: solution discovery, architecture, tooling, evaluation, deployment, operations, and metrics.
Strong proficiency in Java/Spring Boot for backend services and APIs; hands-on experience with modern front-end frameworks (React, Angular, or Vue.js) and full-stack web application development; experience building production RESTful APIs, microservices, and API gateways; solid understanding of web security, authentication/authorization, and API design.
Strong proficiency in Python and practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX); solid understanding of ML principles, evaluation methodologies, and distributed systems; experience with MLOps/LLMOps and shipping AI capabilities to production.
Hands-on experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); ability to integrate AI models into production systems via APIs, data pipelines, and cloud-native architectures.
Strong collaboration skills; clear written and verbal communication; ability to work independently on complex problems and align with team priorities.
Additional preferred qualifications include:
Experience on teams building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic).
Strong knowledge of vector databases, embeddings, semantic search, and information retrieval; domain familiarity with legal, tax, accounting, or regulated industries (e.g., investigative or large-scale search platforms).
Track record contributing to AI product launches and scaling AI systems for enterprise use; exposure to AI governance, model risk management, or regulatory compliance; publications, patents, or speaking experience in AI/ML.
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What's in it For You?
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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Analytics and business intelligence systems, finance and insurance, business management consulting, professional, scientific, and technical services and software development
10,000+ Employees
New York, NY, US
