Agentic AI Engineer

Position Overview

At DocuSign – the #1 company in e‑signature and contract lifecycle management – we bring agreements to life for over 1.5 million customers worldwide. In this role as an Agentic AI Engineer, you will design, develop, and deploy autonomous AI agents using cutting‑edge frameworks such as CrewAI and LangChain. You will also build and manage robust data pipelines with tools like dbt, Snowflake, AWS, and Airflow. Compensation: Base salary in California ranges from $126,900.00 to $197,800.00, with additional Bonus and RSU eligibility.

Key Responsibilities

• Design and develop autonomous agents and multi‑agent systems using frameworks like CrewAI and LangChain.
• Develop, test, and maintain data transformations and models with dbt to provide reliable datasets for agent training and decision-making.
• Build and maintain scalable data and ML pipelines using Airflow for efficient workflow management.
• Work with Snowflake to implement and maintain data solutions that support AI workloads.
• Implement and support AWS cloud infrastructure (EC2, S3, Lambda, SageMaker) for our agent‑based AI systems.
• Write high‑quality, efficient Python code to develop and refine algorithms for autonomous systems.
• Collaborate with product managers, research scientists, and fellow engineers to translate requirements into production‑ready AI features.

Required Qualifications

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Proficiency in Python and familiarity with 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 such as Airflow.
• Experience with modern data stacks, including tools like Snowflake and dbt, and working with cloud platforms (preferably AWS).

Preferred Qualifications

• Interest in and understanding of Large Language Models (LLMs).
• Experience with agent‑based frameworks such as LangChain, CrewAI, or similar technologies.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of vector databases (e.g., Pinecone, Chroma) and their application within AI systems.
• A portfolio showcasing personal or professional projects in AI or data engineering.
• Experience in prompt engineering and designing effective prompt strategies for LLMs.

Benefits & Perks

• Paid Time Off: Earned time off and paid company holidays based on region.
• Paid Parental Leave: Up to six months off following birth, adoption, or foster care placement.
• Full Health Benefits Plans: Options for 100% employer‑paid or low employee contribution health plans from day one.
• Retirement Plans: Participation in selected retirement and pension programs with potential employer contributions.
• Learning and Development: Opportunities for coaching, online courses, and education reimbursements.
• Compassionate Care Leave: Paid time off for significant life events or loss of a loved one.
• Additional perks include a structured Bonus plan and eligibility for RSUs.