Software Development Engineer - Document Intelligence

Socket.dev; Pleasanton (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Socket.dev is hiring a Software Development Engineer to join the Document Intelligence team in Pleasanton, CA. You’ll contribute to building robust AI platforms and scalable ML infrastructure, collaborating with senior engineers and ML researchers to transform ideas into production-ready solutions.

You will focus on planning, reasoning, and action-execution frameworks within multi-agent architectures, writing clean, high-performance Python code and ensuring system resilience at scale.

Qualifications

• Experience building production AI platforms and services.
• Strong programming skills in Python and modern ML tooling.
• Familiarity with Kubernetes and scalable RESTful APIs.

Responsibilities

• Develop and maintain AI platform capabilities focusing on tool-calling and multi-agent patterns.
• Build secure, scalable ML infrastructure and multi-tenant runtimes for large-scale inference.
• Collaborate with engineers and researchers to ensure production-readiness and code quality.

Skills

Python

Kubernetes

AI platforms

Multi-agent architectures

Agentic AI

Tools

RESTful web services

ML infrastructure

Job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

This is a very exciting opening in the AI Platform team in our Document Intelligence team. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. Over 65% of the Fortune 500 are Workday customers. The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents. We design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention. Our work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution. We integrate seamlessly with business workflows for areas like financials, spend management, and more. By continuously evolving our models to handle new document types and edge cases, we help automate and accelerate critical business processes across the organization. Workday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges.

About the Role

As a Software Development Engineer for the Document Intelligence team, you will be a key contributor to the team, working closely with senior engineers and ML researchers to build and deploy robust, scalable AI platforms. You will play a vital role in turning innovative ML concepts into production‑ready solutions, with a focus on agentic AI capabilities such as planning, reasoning, and action execution frameworks.

Your Primary Focus:

• Implement AI Platforms: Develop and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi‑agent architectures, and human‑in‑the‑loop integrations. You will write clean, performant code that ensures these systems are resilient in production.
• Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will contribute to the development of multi‑tenant runtime architectures that enable fast inference and scale to millions of users.
• Collaborative Engineering: Participate in design reviews and code quality initiatives. You will apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.

You Will Also:

• Translate Requirements: Work with cross‑functional teams to turn product requirements