Senior AI Software Engineer – GenAI & LLM Systems

DocuSign, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

DocuSign, Inc. seeks a Senior Software Engineer to design, build, and scale intelligent, enterprise-grade software with a strong focus on agentic AI, integration, and secure distributed architectures.

You will collaborate with product management and architecture, own code quality, and drive from ideation to deployment, including NLP, RAG pipelines, and multi-agent frameworks in a hybrid in-office/remote setting.

Qualifications

• Experience developing GenAI-powered applications such as intelligent chatbots and autonomous agents.
• Experience with LLMs, transformer architectures, and their enterprise applications.
• Experience with RAG, embeddings, and fine-tuning of LLMs.
• Experience with NLP, prompt engineering, and context window optimization.
• Experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
• Experience with Python, Bash, React, and Streamlit; API integrations.

Responsibilities

• Design, build, and scale enterprise-grade software with agentic AI patterns.
• Develop NLP algorithms and information retrieval systems using SpaCy/NLTK/HuggingFace.
• Build RAG architectures connecting LLMs to enterprise databases.
• Create AI assistants and multi-agent frameworks with secure execution environments.
• Own CI/CD, versioning, and documentation for AI infrastructure.

Skills

GenAI-powered apps

NLP

LLMs

RAG

Prompt engineering

Distributed systems

APIs

Python

Docker

Kubernetes

AI-enabled architectures

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

LangChain

LlamaIndex

LangGraph

CrewAl

React

Streamlit

Glean

Terraform

AWS

Git

Job description

DocuSign, Inc. seeks a Senior Software Engineer to design, build, and scale intelligent, enterprise-grade software with a strong focus on agentic AI, integration, and secure distributed architectures.

You will collaborate with product management and architecture, own code quality, and drive from ideation to deployment, including NLP, RAG pipelines, and multi-agent frameworks in a hybrid in-office/remote setting.