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Lead Principal Platform Software Engineer
Oracle
United States
- $113,600 to $306,400 USD / year
Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while…
Added 28 mins ago
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO LRN
Amazon
Bellevue, WA
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Added 28 mins ago
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Bellevue, WA
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Added 28 mins ago
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Seattle, WA
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Added 28 mins ago
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Added 33 mins ago
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Added 2 hours ago
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…transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer…
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Added 2 hours ago
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Added 2 hours ago
Director I, Chief Information Security Officer Monroe Community College
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…AWS. 4. Perform confidential discovery of sensitive personnel data at the direction of college administration. 5. Ensure the integrity and protection of college Information Technology…
Added 2 hours ago
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Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- New York, NY
American Express
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Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- New York, NY
American Express
New York, NY
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Added 2 hours ago
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Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY
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New York, NY
- $78,000 to $124,750 USD / year
- Full-time
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Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- New York, NY
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New York, NY
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- Full-time
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Relativity ODA LLC

Advanced Software Engineer

IL, United States

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Job details

Experience: 3+ years of professional software development experience using C# and Microsoft SQL Server, or related object-oriented languages.
Posting language: English
Posted: Oct 30, 2026

Original job description

Posting Type Hybrid/Remote

Job Overview Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered cloud platform, RelativityOne, turns massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.

The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology for academic institutions through Relativity Academic and to supporting pro bono legal work through Justice for Change.

AI at Relativity

Over the past two years, billions of documents have benefited from Relativity AI, and we are just beginning. We apply AI to improve every user experience, product, matter, and investigation, so users can find the truth faster and act on data with confidence. Our team values curiosity, experimentation, and continuous learning: we test boldly, learn quickly, and improve every day.

Job Description and Requirements As an Advanced Software Engineer at Relativity, you will independently take features from design to production in our cloud-based SaaS platform, using AI both as a tool and as a product capability. You will write production C# and SQL, and you will build the services, instrumentation, evaluation harnesses, and data pipelines that turn an Applied Science approach into something customers can rely on, and diagnose what goes wrong when they can't.

Our team is the driving force behind Case Strategy, a comprehensive suite of applications designed to empower case teams in constructing winning cases. By seamlessly integrating with Relativity, Case Strategy allows users to quickly and easily define, validate, and present their case strategies. Our team owns the flagship AI product that significantly reduces the time and effort needed to analyze, organize, and understand case information, enhancing attorney productivity and case management. We are proud to be one of the few teams at Relativity leveraging AI to innovate our products, making us a leader in the legal tech space.

You will build and operate the AI systems behind Relativity aiR at production scale, under real legal stakes. You will work side by side with Applied Scientists, who own the science, and with Product, who owns the value case, so that what we ship meets the reliability target it was promised at. Along the way you will work with multiple databases, processing and web servers, search engines, and clustering technologies, using many of the newer and stronger technologies available.

Responsibilities

Core software engineering

Product Development. Build our primary product offering, Relativity, using object-oriented analysis, design, and programming with SOLID principles and design patterns in multiple languages.
Agile Delivery. Participate in our SCRUM process and deliver through CI/CD with strong observability.
Performance. Improve application and system performance at scale.
Quality and Support. Troubleshoot issues by fixing defects and responding to client-specific problems.

AI engineering

Prototype to Production. Independently take a prototype or notebook from Applied Science to a deployed, monitored production service, delivered through CI/CD.
Instrument. Instrument models and prompts for quality, latency, and cost, and build dashboards and alerts against the reliability target.
Diagnose. Diagnose and mitigate common failure modes, including drift, latency regressions, cost blow-ups, tool-call and retrieval errors, and data-quality effects on outputs.
Evaluation Harness. Build and maintain the evaluation harness and regression checks that gate releases, and extend coverage as use cases grow.
Component Design. Design components of an AI solution with senior review, document interfaces and non-functional requirements, and apply patterns proven elsewhere in the company.
Data Pipelines. Build and operate the pipelines for a feature with reproducibility, lineage, and automated data-quality monitoring.
Trade-offs. Make and document implementation trade-offs (batching, caching, model tier, timeouts, fallbacks) with sound reasoning about quality and cost.
Security and Compliance. Work with Relativity's security team to protect customer data and meet compliance requirements in every AI feature you build.
AI-Assisted Development. Use modern AI coding tools in your daily work to raise the speed and quality of design, development, testing, and code review, and share what works with the team.

Collaboration and growth

Prioritize. Prioritize independently across competing tasks and deliver predictably.
Mentor and Collaborate. Mentor L3 engineers, and collaborate across the team and with Applied Science, product managers, and the AI platform team.
Communication. Keep your team informed about AI innovations, learning opportunities, and future directions.

Required Qualifications

3+ years of professional software development experience using C# and Microsoft SQL Server, or related object-oriented languages.
Experience building web applications with JavaScript and ASP.NET.
Experience building scalable solutions on Azure or another cloud platform.
Experience working on an agile software development team.
Experience with CI/CD and an understanding of DevOps principles.
1+ year building or operating AI/ML systems or their data pipelines, such as LLM integrations, prompt design, retrieval-augmented generation (RAG), or embeddings.
Experience deploying and monitoring models or LLM-based services in a cloud environment.
Practical ML fluency: you can read evaluation results, reason about model failure modes, and make quality, latency, and cost trade-offs.
Experience building data pipelines with orchestration tooling (such as Prefect or Airflow) and attention to reproducibility.
Working knowledge of Python alongside C#.
Regular use of AI-assisted development tools, with sound judgment about when to trust and when to verify their output.
Ability to design and document a component of a larger system, including non-functional requirements.
Effective collaboration with scientists, engineers, and product partners.

Preferred Qualifications

Experience building evaluation harnesses or regression suites for AI systems, including evaluating LLM output quality.
Experience with LLM orchestration or agent frameworks, agentic workflows, and tool calling.
Experience with large-scale or sensitive data.
Experience with Azure DevOps and Azure AI and data services.
Experience with Docker, Kubernetes, and Helm.
Experience with infrastructure as code (for example Terraform, Pulumi, AWS CDK, or CloudFormation).
Experience with MLflow or Kubeflow, or with big data frameworks such as Apache Spark or Kafka.
Experience building or deploying models with frameworks such as PyTorch, TensorFlow, or Keras, or depth in an area such as NLP.
Bachelor's or advanced degree in Computer Science, Computer Engineering, Mathematics, Statistics, or Artificial Intelligence.

Why We Could Be a Great Fit

Impactful Mission. Organize Data, Discover the Truth and Act on It. Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform.
Growth Path. Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, which accelerates career growth.
Engineering Culture. Continuous delivery, strong observability, and end-to-end ownership.
Inclusive Environment. Diverse backgrounds and perspectives make us stronger.
Community Impact. Volunteer opportunities and company-sponsored charitable programs.
Compensation and Benefits. Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, a home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$103,000 and $155,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

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