Agentic AI Engineer, Mid Level
Jobright.ai
San francisco,
California,
United States
Information Technology
H-1B
Job posted on August 9, 2025
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Job Description:
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Job Summary: Docusign is a leader in e-signature and contract lifecycle management, providing innovative solutions to over 1.5 million customers worldwide. They are seeking an Agentic AI Engineer to design, develop, and deploy autonomous AI agents, contributing to the company's AI applications and data pipeline management.
Responsibilities: • 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
Qualifications:
Required: • 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
Company: DocuSign helps small- and medium-sized businesses collect information, automate data workflows, and sign on various devices. Founded in 2003, headquartered in San Francisco, California, USA, team size 5001-10000 employees, currently Public Company. Docusign has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Docusign is a leader in e-signature and contract lifecycle management, providing innovative solutions to over 1.5 million customers worldwide. They are seeking an Agentic AI Engineer to design, develop, and deploy autonomous AI agents, contributing to the company's AI applications and data pipeline management.
Responsibilities: • 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
Qualifications:
Required: • 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
Company: DocuSign helps small- and medium-sized businesses collect information, automate data workflows, and sign on various devices. Founded in 2003, headquartered in San Francisco, California, USA, team size 5001-10000 employees, currently Public Company. Docusign has a track record of offering H1B sponsorships.