Job at a glance
Company Overview 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). What you'll do 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