# Senior Software Engineer - AI

Source: https://realanalystjobs.com/job/senior-software-engineer-ai-docusign-8cfcd9f7
Senior Software Engineer - AI at DocuSign, an on-site role based in San Francisco, California, USA. Experience level: 6+ Years. Posted on 11 September 2026, read from DocuSign's own careers page (Jibe), which RealAnalystJobs re-checks daily and removes the role when it closes. DocuSign has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Updated 15 November 2026.

## Key facts

- Company: [DocuSign](https://realanalystjobs.com/companies/docusign)
- Location: San Francisco, California, USA
- Work mode: On-site
- Posted: Sep 11, 2026
- Employment type: Full time
- Experience level: 6+ Years
- Source: DocuSign's careers page (Jibe), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python), Azure, Airflow

## Visa sponsorship

The posting does not say.

DocuSign had H-1B petitions approved for 156 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/docusign#h1b-record)

## About this role

Company Overview 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). 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/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 Job Designation 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. What you bring 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 La

Description from DocuSign's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-software-engineer-ai-docusign-8cfcd9f7) and use Apply now there to reach the employer's application. The listing is re-checked against DocuSign's careers page daily and removed when it closes.

## DocuSign

8 open analyst roles on Real Analyst Jobs. [More roles at DocuSign](https://realanalystjobs.com/companies/docusign)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-software-engineer-ai-docusign-8cfcd9f7)
- [DocuSign on Real Analyst Jobs](https://realanalystjobs.com/companies/docusign)
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