Agentic AI Engineer

Docusign • San Francisco, CA

21h • Hybrid

About The Position

Docusign is seeking a talented and results-oriented AI Engineer to focus on delivering intelligent, trusted data and AI solutions to the business. As a member of the Global Data Analytics (GDA) team, you will leverage a variety of technologies to design, develop, and deliver AI-powered features in addition to loading, transforming, and preparing data sets of all shapes and sizes. During a typical day, you will develop new features to analyze data, build AI agents, and load tested data sets into the Snowflake Enterprise Data Warehouse. You will have the opportunity to use innovative technologies such as AWS, Snowflake, dbt, and Airflow while pioneering our AI agent orchestration layer. We are looking for a candidate with a positive “can do” attitude, a passion for learning, and the drive to work hard in a fast-paced environment. This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics.

Requirements

• Basic Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or a related field
• 8+ years of Data/Software Engineering experience
• 3+ years of experience specifically within agentic orchestration, RAG-based architectures, and LLM implementation
• Experience developing data pipelines in Python or Java
• 3+ years of dimensional and relational data modeling experience
• Experience with SQL and database management

Nice To Haves

• Hands-on experience with LangChain, Langgraph, CrewAI, and Arize
• 3+ years in Snowflake, BigQuery, or Redshift
• 5+ years with AWS, Spark, and Data Lake environments
• 5+ years with dbt, Matillion, and Airflow
• Experience with Claude Code, Cortex, and VSCode Copilot development models
• Excellent analytical and problem-solving skills with the ability to work independently or as part of a team

Responsibilities

• Build and maintain scalable, efficient data pipelines and AI agent orchestrations
• Develop and deploy autonomous agents using frameworks like CrewAI and LangChain
• Implement Retrieval-Augmented Generation (RAG) systems and manage Vector Databases to enhance LLM context and accuracy
• Utilize Langgraph/CrewAI for complex stateful multi-agent orchestration
• Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability
• Analyze and develop data quality and validation procedures to ensure trusted data for AI applications
• Work with stakeholders to understand requirements and provide AI-driven solutions
• Own, monitor, and improve solutions to ensure SLAs are met
• Execute projects using Agile Scrum methodologies in a collaborative team environment

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior