Senior ML Engineer
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Job Description
Senior AI Engineer contributing to AI engineering teams at Relativity. Design and develop scalable AI systems, collaborating with cross-functional teams and driving engineering excellence.
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.
Requirements:
- 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.
Benefits:
- 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
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