Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
We are seeking a motivated Agentic AI Engineer with a strong foundation in data engineering and AI orchestration. In this role, you will be a key contributor to the design, development, and deployment of our autonomous AI agents. You will use cutting-edge frameworks like CrewAI and LangChain to build agent capabilities and work extensively with our data stack—including dbt, Snowflake, AWS, and Airflow—to build and manage the data pipelines that are essential for our AI systems. This is a hands-on role where you will have a direct impact on our Agentic applications journey.
This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics.
Responsibility
Contribute to the design and development of autonomous agents and multi-agent systems using frameworks like CrewAI and LangChain
Develop, test, and maintain data transformations and models using dbt to provide clean, reliable datasets for agent training and decision-making
Build and maintain robust, scalable data and ML pipelines using Airflow to manage workflows and ensure timely data delivery
Work within our analytical data infrastructure in Snowflake, focusing on the implementation and maintenance of data solutions that support our AI workloads
Implement and support the cloud infrastructure on AWS required for our agentic AI systems, utilizing services like EC2, S3, Lambda, and SageMaker
Write high-quality, efficient Python code to implement and refine algorithms for agentic systems
Work closely with product managers, research scientists, and other engineers to translate requirements into production-ready AI features
Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
Basic
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
Experience with Python and familiarity with its common AI/ML and data manipulation libraries
5+ years of professional experience in a software or data engineering role
Hands-on experience with data pipeline orchestration tools like Airflow
Experience working with the modern data stack, including tools like Snowflake and dbt
Experience building or working with cloud platforms, preferably AWS
Preferred
An interest in and understanding of Large Language Models (LLMs)
Experience building applications or agents using LangChain, CrewAI, or similar agentic frameworks
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Knowledge of vector databases (e.g., Pinecone, Chroma) and their application in AI systems
A portfolio of personal or professional projects that showcase your skills in AI or data engineering
Excellent problem-solving skills and the ability to work effectively in a collaborative, fast-paced environment
Demonstrable experience in prompt engineering and designing effective prompt strategies for LLMs
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $126,900.00 - $197,800.00 base salary
This role is also eligible for the following:
Global benefits provide options for the following:
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
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