DO
Full time
🤖 AI / ML
Machine Learning Engineer at Docusign
Listed by DevShelfHub
Hybrid (minimum 2 days per week in office)
Hybrid
Senior · 5–9 yrs
About the Role
Intelligent agreement management is driving demand for production-grade ML engineers who can build autonomous agents and advanced retrieval systems. Docusign is hiring a Machine Learning Engineer on the AI Applications team to design AI features powering next-generation intelligent systems.
What you'll do
- Build and maintain high-performance distributed systems to support agreement processing, understanding, or creation
- Design frameworks for multi-agent systems focusing on state management, reliability, and long-running autonomous workflows
- Architect sophisticated RAG pipelines and advanced context management strategies
- Design, implement, and own comprehensive evaluation frameworks including golden datasets and structured experiments
- Author, version, and optimize production prompts ensuring robust defenses against prompt injection
- Own and execute end-to-end model fine-tuning processes for tailored agreement use cases
- Implement robust ML pipelines and CI/CD workflows with observability and telemetry instrumentation
- Collaborate cross-functionally with Applied Science and Product Management teams
What we're looking for
- 5+ years of experience in machine learning engineering, software engineering, or related roles
- Proficiency in Python design patterns, asynchronous programming, and performance optimization
- Proven experience deploying and managing containerized ML services using Kubernetes
- Experience building high-performance, scalable distributed systems
Skills & Technologies
Required
5+ years of experience in machine learning engineering, software engineering, or related roles
Proficiency in Python design patterns, asynchronous programming, and performance optimization
Proven experience deploying and managing containerized ML services using Kubernetes
Experience building high-performance, scalable distributed systems
Understanding of full lifecycle including data ingestion, model training, and production monitoring
Direct experience building with LLMs including complex prompt engineering
Experience deploying and maintaining ML models in high-traffic production environments
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role bridges core AI research and production-grade engineering for agreement intelligence.
- Build and maintain high-performance distributed systems for agreement processing and understanding
- Design frameworks for multi-agent systems with state management and autonomous workflows
- Architect sophisticated RAG pipelines and advanced context management strategies
- Design comprehensive evaluation frameworks with golden datasets and offline/online experiments
- Author, version, and optimize production prompts with defenses against prompt injection
- Own end-to-end model fine-tuning for tailored agreement use cases
- Implement robust ML pipelines and CI/CD workflows with observability and telemetry
- Collaborate with Applied Science and Product Management via joint triage framework
- Deploy containerized ML services using Kubernetes in high-traffic production environments
- Work on cutting-edge LLM and agent-loop architectures at a global technology leader
About Docusign
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions. With Intelligent Agreement Management, Docusign unleashes business-critical data trapped inside documents using the #1 company in e-signature and contract lifecycle management (CLM).
- Industry
- Technology
- Company Size
- 500+
- Website
- docusign.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–9 years
- Location
- Hybrid (minimum 2 days per week in office)
- Work Mode
- Hybrid
- Category
- AI / ML
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