Retrieval Augmented Generation Rag Jobs in Michigan

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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