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Ruby On Rails Jobs in Ann Arbor, MI (NOW HIRING)

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

Work closely with Platform Engineers on infrastructure, compute, and scalability. 4. MLOps, CI/CD & Lifecycle Management * Define and enforce MLOps standards using MLflow, including: * Experiment ...

Actalent

Principal BMS Engineer

Ann Arbor, MI

$57 - $96.15/hr

Provide expert-level guidance on embedded firmware design, real-time systems, and safety-critical software. * Lead development and review of core BMS algorithms, including SOC, SOH, SOE, cell ...

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All JobsRuby On Rails JobsRuby On Rails Jobs in Ann Arbor, MI

Ruby On Rails information

See Ann Arbor, MI salary details

$24.9K

$119.5K

$167.8K

How much do ruby on rails jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ruby on rails in Ann Arbor, MI is $119,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Ruby on Rails developer?

Ruby on Rails developers are software engineers who specialize in building web applications using the Ruby on Rails framework. They use the Ruby programming language and the Rails framework to create scalable, maintainable, and efficient websites or web applications. Their responsibilities often include designing database structures, writing server-side logic, integrating front-end components, and deploying applications. Ruby on Rails developers work in a variety of industries and are valued for their ability to quickly develop robust web solutions.

Is Ruby on Rails a good career?

Ruby on Rails is a popular web development framework used by many companies, and roles for Rails developers are in demand, especially for building scalable web applications. Skills in Ruby, Rails, and related tools like JavaScript and databases can lead to job opportunities in startups and tech firms. The career can be stable with continuous learning and experience, but market demand varies based on industry trends and location.

What is Ruby on Rails?

Ruby on Rails is an application framework for web development. Specifically, it focuses on server-side functions and relies on the model-view-controller pattern. Rails is the framework itself, while Ruby is the programming language in which Rails is written. Ruby on Rails was designed to cut down on repetitive tasks and to be easy to learn with large, easily accessible libraries. It is open source as well, which means there is a large community that you can utilize to answer questions or improve your skills.

What are the key skills and qualifications needed to thrive as a Ruby on Rails developer, and why are they important?

To thrive as a Ruby on Rails Developer, a solid grasp of Ruby programming, Rails framework, object-oriented design, and web development fundamentals is essential, often supported by a degree in computer science or related experience. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and deployment tools like Heroku or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication help developers collaborate with teams and address client needs efficiently. These skills are crucial for building robust, scalable web applications and adapting to evolving project requirements.

Is Ruby on Rails still in demand?

Ruby on Rails remains a popular web development framework, especially for startups and small to medium-sized businesses. While demand has shifted towards JavaScript frameworks and other backend technologies, many companies still seek Rails developers for maintaining and building applications, and knowledge of related tools like Git and SQL enhances job prospects.

What is the difference between Ruby On Rails vs JavaScript Developer?

AspectRuby On RailsJavaScript Developer
Required CredentialsProficiency in Ruby, Rails framework, MVC architectureProficiency in JavaScript, frameworks like React or Angular, HTML/CSS
Work EnvironmentBackend web development, server-side scriptingFrontend development, client-side scripting
Employer & Industry UsageWeb startups, SaaS companies, e-commerce platformsWeb applications, interactive websites, mobile app development

Ruby On Rails and JavaScript Developers often work together but focus on different parts of web development. Rails is primarily used for backend development with a focus on server-side logic, while JavaScript developers handle the frontend, creating interactive user interfaces. Both roles are essential in full-stack development, but their skills and tools differ significantly.

What are some common challenges faced by Ruby on Rails developers when working in agile teams?

Ruby on Rails developers in agile environments often encounter challenges such as rapidly adapting to changing requirements and maintaining code quality during frequent iterations. Collaborating closely with designers, product managers, and QA specialists requires clear communication and flexibility, especially when integrating new features or resolving bugs under tight deadlines. Additionally, balancing the need for quick delivery with best practices like writing tests and refactoring code can be demanding but is critical for long-term project success.
More about Ruby On Rails jobs
What are popular job titles related to Ruby On Rails jobs in Ann Arbor, MI? For Ruby On Rails jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Ruby On Rails jobs in Ann Arbor, MI look for? The top searched job categories for Ruby On Rails jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Ruby On Rails jobs? Cities near Ann Arbor, MI with the most Ruby On Rails job openings:
Ruby On Rails jobs near you
Infographic showing various Ruby On Rails job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% Internship, 2% As Needed, 80% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,468 per year, or $57.4 per hour.

Principal Engineer - Supply Chain AI Solutions

Harman International Industries

Novi, MI • On-site

Full-time

Posted 11 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
Drive hands-on delivery of AI and Generative AI solutions that streamline supply chain workflows and deliver measurable business value through hours saved, cycle-time reduction, improved decision quality, risk mitigation, and the breadth of users served. You will architect, develop, and maintain production-grade systems encompassing RAG pipelines, agentic tools, model routing, vector search, evaluation and guardrails, and observability, all tightly integrated with internal platforms, enterprise datasets, and supply chain systems. This is primarily a hands-on GenAI and software engineering role, with supply chain expertise providing the domain context for solution design and delivery.
What You Will Do
  • Automate high-impact supply chain workflows for internal stakeholders, prioritizing initiatives with the greatest time savings, business impact, and user reach.
  • Deliver production-ready copilots and applications for knowledge search, document summarization, intelligent recommendations, conversational analytics, exception management, and end-to-end workflow automation.
  • Apply GenAI and software engineering to supply chain use cases across procurement; supplier collaboration and management; risk management; quality; costing; engineering; materials and warehouse management; finished-goods and component-level planning; and ESG.
  • Architect and develop scalable, high-performance data and AI systems that support RAG, agentic workflows, secure tool use, and model orchestration.
  • Own the complete solution lifecycle, from problem definition and rapid prototyping through rigorous evaluation, production deployment, ongoing monitoring, and continuous improvement.
  • Design and implement RAG pipelines over heterogeneous and often messy enterprise and supply chain data, including contracts, purchase orders, supplier documents, bills of material, requirements, quality records, audit artifacts, planning data, business rules, and unstructured content. Select embedding strategies, chunking approaches, vector search configurations, rerankers, metadata or knowledge-graph enrichment techniques, and routing policies to maximize retrieval quality.
  • Develop agentic workflows leveraging LangChain, LlamaIndex, Model Context Protocol (MCP), and agent-to-agent (A2A) protocols; build secure tools that allow agents to retrieve data and execute approved actions in enterprise systems.
  • Integrate AI solutions with enterprise applications and data platforms through APIs, events, batch pipelines, and governed access patterns; design integrations that are resilient, observable, and maintainable.
  • Evaluate when to use platform-native embedded AI capabilities versus custom-built GenAI components, and design modular solutions that can evolve with the enterprise tool landscape.
  • Translate subject-matter-expert knowledge into robust prompts, tools, workflow logic, and validation rules; evaluate trade-offs among prompt engineering, retrieval augmentation, fine-tuning, and deterministic software.
  • Work hands-on with large language models, vector databases such as Pinecone and FAISS, and agent memory systems.
  • Establish operational excellence through rigorous SLAs; safety and guardrail mechanisms; prompt and version management; transparent evaluation; latency and throughput optimization; cost controls; load balancing; fallback or model-routing strategies; and human review for process-critical decisions.
  • Establish observability using tools such as Datadog, Grafana, and LangFuse, along with model and data governance, access controls, auditability, and operational support appropriate for internal enterprise environments.
  • Build and maintain data products, lakes, and warehouses using platforms such as Snowflake, Delta Lake, BigQuery, and Microsoft Fabric to support supply chain AI use cases.
  • Build internal copilots and customer-facing features using React, Node.js, and Python with REST or GraphQL backends; containerize applications with Docker, orchestrate with Kubernetes, automate CI/CD pipelines, and manage infrastructure as code using tools such as Terraform.
  • Collaborate closely with supply chain subject-matter experts, requirements, testing, validation, cybersecurity, data, platform, and enterprise application teams; communicate proactively and iterate rapidly in a fast-paced environment.

What You Need To Be Successful
  • 8+ years of experience building production software, ideally including ML systems and hands-on work with LLMs and Generative AI; demonstrated technical leadership while remaining deeply hands-on.
  • Programming: Python (FastAPI, NumPy, Pandas, scikit-learn, Pydantic, Jinja2) and Node.js; strong proficiency with APIs and distributed systems.
  • LLMs and Frameworks: Hands-on experience with at least one major deep learning or LLM stack, such as PyTorch/Transformers or TensorFlow/Keras, and orchestration frameworks such as LangChain or LlamaIndex.
  • Model Providers: Working familiarity connecting to inference providers and model ecosystems such as AWS Bedrock, OpenAI, Anthropic, Meta/Llama, and Mistral.
  • Data and Storage: SQL and NoSQL databases (PostgreSQL, DynamoDB), Elasticsearch for search and analytics, and vector databases (Pinecone, Weaviate, FAISS, Milvus, pgvector).
  • Cloud and Infrastructure: AWS (S3, EC2, Lambda, CloudWatch, Fargate, EKS/ECS), Azure, GCP, Databricks, Docker, Kubernetes, Terraform, CI/CD, Airflow, and Kafka.
  • Enterprise Integration: Demonstrated experience integrating production software or AI systems with one or more enterprise platforms using APIs, event-driven interfaces, batch or data pipelines, authentication and authorization, and robust error-handling patterns.
  • Operational Excellence: Load balancing, monitoring and alerting (Datadog, Grafana, LangFuse), debugging production issues, evaluation and release discipline, and cost and performance optimization.
  • Preferred Platform Experience - Strong Plus: Experience with one or more of SAP, SAP S/4HANA, SAP Ariba, enterprise resource planning (ERP) platforms, Ivalua, OneStream, Darwin Analytics, SupplyOn, or SAP Integrated Business Planning (IBP). Experience using or extending platform-native AI capabilities is valuable; breadth across every platform is not required.
  • Preferred Supply Chain Domain Experience - Strong Plus: Delivery experience in one or more of procurement, supplier collaboration and management, risk management, quality, costing, engineering, materials and warehouse management, finished-goods or component-level planning, and ESG. Familiarity with automotive supply chain and compliance concepts such as Extended Producer Responsibility (EPR), Process Release Audit (PRA), and Production Part Approval Process (PPAP) is an additional advantage.
  • Soft Skills: Strong communication abilities, product-oriented thinking, effective collaboration with technical and functional subject-matter experts, and the capacity to learn and adapt quickly in a dynamic environment.
  • Education: BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent professional experience.

What Makes You Eligible
  • Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#Hybrid
#LI-AA1
Salary Ranges:
$ 125,250 - $ 183,700
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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