Senior ML Engineer

Posting Type

Remote

Job Overview

Job Description and Requirements

Responsibilities 

• Design, develop, and operate secure, maintainable, and scalable AI systems using object-oriented principles, modern architecture, and cloud-native patterns. 

• Build and deploy intelligent AI agents capable of autonomous reasoning, decision-making, and task execution across enterprise systems. 

• Integrate AI orchestration and reasoning frameworks (e.g., LangChain, Semantic Kernel, MLflow, vector databases) into production environments to deliver real business value. 

• Develop retrieval, orchestration, and reasoning pipelines for AI agents, enabling context-aware and multi-turn interactions with enterprise data sources and APIs. 

• Utilize Azure AI and cloud services (Azure ML, Cognitive Services, Functions, App Services, Cosmos DB, Azure DevOps) to create scalable AI-enabled applications. 

• Collaborate with cross-functional teams including product, backend, and data engineering to design interfaces and protocols for AI-agent collaboration. 

• Drive engineering excellence through code reviews, architecture discussions, and mentorship. 

• Champion DevOps and MLOps best practices—CI/CD pipelines for AI workflows, observability for inference performance, and reproducibility of agentic systems. 

• Adopt AI-assisted development tools (e.g., GitHub Copilot, Cursor, OpenAI API tooling) to accelerate software delivery and improve developer productivity. 

• Ensure reliability and observability of deployed AI systems using monitoring, logging, and runtime performance metrics. 

• Contribute to architectural decisions around agent frameworks, model lifecycle management, and cloud-native scalability. 

• Stay current with emerging AI technologies and frameworks, sharing insights and recommendations that shape the company’s AI strategy. 

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related technical field—or equivalent practical experience. 

• 5+ years of experience in software engineering or machine learning engineering, including designing distributed systems. 

• Proficiency in Python and at least one other general-purpose language (C#, Java, or Go). 

• Experience with AI engineering and orchestration frameworks such as LangChain, Semantic Kernel, MLflow, or similar. 

• Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization technologies (Docker, Kubernetes). 

• Strong understanding of modern software architecture, API design, and secure cloud development. 

• Demonstrated ability to collaborate effectively and communicate complex technical concepts clearly. 

Preferred Qualifications 

• Experience building autonomous or semi-autonomous agents using frameworks such as LangChain, Semantic Kernel, or custom orchestration layers. 

• Background in retrieval-augmented generation (RAG), knowledge graphs, or contextual search. 

• Experience designing or maintaining MLOps pipelines, including model tracking, evaluation, deployment, and monitoring. 

• Knowledge of data engineering and event-driven systems (Kafka, Spark, DataBricks). 

• Familiarity with AI safety, evaluation, or prompt engineering concepts. 

• Solid background in mathematics, statistics, and data analysis, especially in probability, linear algebra, and optimization. 

• Prior experience mentoring junior engineers and contributing to AI product roadmaps. 

Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.

Benefit Highlights:

Comprehensive health, dental, and vision plans

Parental leave for primary and secondary caregivers

Flexible work arrangements

Two, week-long company breaks per year

Additional time off

Long-term incentive program

Training investment program

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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:

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: