Senior Software Engineer
Docusign
Senior Software Engineer
Docusign
Runs electronic signing and agreement workflows
Docusign brings agreements to life. More than 1.8 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 the Docusign AI-native IAM platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
Our Digital Technology Services team is in the business of trust and reliability. We create, maintain and operate scalable technology and data solutions that deliver an exceptional experience for our internal & external customers. We embrace Agile principles and values, favor DevOps practices, and view infrastructure as code, all while we create an SW infrastructure that scales and supports our growth and ambitious vision. This requires a smart, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business. We are seeking a Senior Software Engineer to design, build, and scale intelligent, enterprise-grade software solutions, with a strong focus on agentic Al systems and complex integrations across Application Engineering platforms. This role is a hands-on engineering position requiring deep expertise in software design, distributed systems, APIs, and Al-enabled architectures, rather than functional system configuration. The Senior Software Engineer will develop and operate custom-built applications, Al agents, middleware services, and integration frameworks that connect core technology platforms with enterprise and external systems. A key aspect of this role is the application of agentic Al patterns, including orchestration, tool-using agents, Retrieval-Augmented Generation (RAG), and workflow automation, to improve system intelligence, resilience, and developer productivity. This role partners closely with Product Management, Enterprise Architecture, and technology stakeholders but remains fundamentally an engineering role, accountable for code quality, system reliability, scalability, and security.
This position is an individual contributor role reporting to the Director, Application Support and Operations.
Responsibility
Conduct applied Al research to translate theoretical GenAl advancements into production-ready software features
Lead Technical Feasibility Studies and rapid prototyping to provide the engineering foundation for "build vs. buy" architectural decisions
Engineer Production-Grade NLP algorithms and information retrieval systems using SpaCy, NLTK, and Hugging Face to drive core product capabilities
Design, build, and maintain scalable RAG architectures that connect foundational Large Language Models (LLMs) to proprietary enterprise databases
Evaluate and apply appropriate embedding models, vector databases, and LLMs based on cost, latency, security, and performance requirements
Build enterprise-grade conversational interfaces and analytical Al tools (QueryGPT) that interface directly with structured data systems via custom middleware
Design and Build autonomous multi-agent frameworks (e.g., CrewAl, LangGraph) and scalable agentic platforms, focusing on distributed system architecture and secure execution environments
Develop Custom Extensions and API-based integrations for LLM models, creating sophisticated Al assistants through backend systems programming
Execute Model Engineering through supervised fine-tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) to optimize model weight distribution for scalability and reliability
Develop algorithmic prompt-chaining logic and maintain a centralized, version-controlled prompt library integrated into the CI/CD pipeline
Architect and Develop end-to-end evaluation pipelines for LLMs/SLMs, Engineering complex telemetry to capture performance, quantization efficiency, and fine-tuning convergence metrics
Own the technical documentation, code maintainability, and reproducibility of the Al infrastructure, ensuring alignment with engineering excellence standards
Bridge time zones effectively; ensure crisp handoffs and decision velocity with US counterparts
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 or Master's degree in Computer Science or a related field
6+ years of relevant experience with a Master's degree, or 8+ years with a Bachelor's degree
Experience developing and deploying GenAl-powered applications such as intelligent chatbots, Al copilots, and autonomous agents
Experience with Large Language Models (LLMs), transformer architectures (e.g., BERT, GPT, T5), and their applications in text generation, summarization, question answering, and code synthesis
Experience with Retrieval-Augmented Generation (RAG), embedding techniques, knowledge graphs, and fine-tuning/training of large language models (LLMs)
Experience in natural language processing (NLP), prompt engineering, instruction tuning, context window optimization, advanced tokenization strategies, and leveraging pre-trained LLMs (via APIs or open-source models)
Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, and agentic/multi-agent orchestration tools like LangGraph, CrewAl, or similar
Experience developing and implementing an interactive search platform Glean
Experience with programming languages such as Python and Bash, as well as frameworks/tools like React and Streamlit
Experience with any copilot tools for coding such as Github copilot or Cursor
Experience with vector databases such as FAISS, Pinecone, Weaviate, and Chroma for embedding storage and retrieval
Experience with data preprocessing, augmentation, and visualization techniques
Experience contributing to GenAl projects from ideation through deployment, iteration, and evaluation of LLM performance
Experience working with containerization and orchestration technologies like Docker, Kubernetes, and AWS ECS
Experience with key AWS services including VPC, IAM, MWAA (Managed Workflows for Apache Airflow), and ECS
Experience with software development best practices including Git, testing, CI/CD pipelines, infrastructure as code (Terraform), automation, and MLOps for GenAl
Preferred
Strong commitment to engineering excellence through automation, innovation, and documentation
One or more certifications such as Cloud, Solution Architect, Technical Architect, or GenAl-related certifications
Proficiency in cloud platforms such as AWS and Azure
Strong problem-solving skills and the ability to think creatively
Strong collaboration skills in cross-functional teams (Product, Design, ML, Data Engineering)
Ability to explain complex GenAl concepts to both technical and non-technical stakeholders
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: $164,700.00 - $266,000.00 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 [email protected].
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance.
AI in Our Hiring Process
At Docusign, we embrace technology to enhance efficiency and create a better candidate experience. We may record or transcribe interviews using enterprise AI tools to assist with meeting notes and interview documentation so our teams can stay fully engaged in the conversation. All hiring decisions remain 100% human-led. You have the right to opt out at any time by notifying your recruiter or interview team, with zero impact on your candidacy.
We encourage using AI tools to research and prepare beforehand. However, to ensure an authentic evaluation, live AI assistance or external recording bots during interviews are not permitted.
Applicant and Candidate Privacy Notice
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.
#LI-Hybrid
Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.
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