Software Engineer (Agentic Systems)

United States Digital Space LLC; San Francisco (CA); On-site; USD 210,000 - 290,000; Full time

Job summary

United States Digital Space LLC is seeking a core technical leader to shape the next-generation Agentic AI platform. You will drive architecture for autonomous workflows, enabling AI agents to reason, act, coordinate, and safely execute complex enterprise tasks.

You will collaborate with Product, Applied Research and leadership to deliver production-grade systems. You will mentor engineers, raise the engineering bar, and define standards for an AI-native SDLC, while advancing real-time voice and

Qualifications

• 10+ years of software engineering with leadership experience shipping large-scale systems.
• Strong foundations in scaling distributed systems and production-grade infrastructure.
• Ability to lead and grow a small team of engineers.
• Experience with LLM platforms, inference optimization, and agent architectures.
• Expertise in data retrieval, memory architectures, and AI safety/observability.

Responsibilities

• Define architectural strategy and delivery for the Agentic AI platform.
• Design scalable, multi-modal AI agents for autonomous support and real-time reasoning.
• Mentor senior engineers and set technical standards for an AI-native SDLC.
• Collaborate with Product, Research, and Design to align execution with strategy.
• Research and implement advanced agent frameworks and safety guardrails.

Skills

Technical leadership

Distributed systems

LLM platforms

Agent frameworks

Real-time infra

Tool integration

Tools

LangChain

LangGraph

CrewAI

AWS Agent

Google Agent

Job description

**About the company**the company is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, the company was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust the company. the company is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a DialerAt the company, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

**Your role**As a core technical leader within our Agentic AI initiatives, you will shape the vision, architecture, and execution of the company’s next-generation AI platform, moving the industry beyond passive copilots into autonomous workflow execution. Working closely with Product, Applied Research, Design, and executive leadership, you will build production-grade systems where AI agents reason, act, coordinate, and safely execute workflows.

You will help pioneer an advanced multi-agent orchestration framework capable of real-time conversational reasoning and tool execution over massive enterprise datasets while fostering an AI-native engineering culture.

This position reports directly to our Senior Director of Engineering and has the opportunity to be based in our San Francisco office.

What you’ll do

• Drive Technical Strategy: Own the architectural roadmap and delivery of the company’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems.

• Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows.

• Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC.

• Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with the company’s long-term business strategy.

• Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep the company at the absolute forefront of the "era of the agent."

Skills you’ll bring

• Experience: 10+ years of relevant software engineering experience, with a proven track record of technical leadership (as a Staff, Senior Staff, or Principal Engineer) shipping complex, large-scale systems.

• Systems Background: Strong foundations in scaling distributed systems and production-grade infrastructure before evolving into applied AI, LLM platforms, and agentic architectures.

• Leadership: Ability to lead and grow a small group of engineers.

• LLM Platforms: Inference optimization and fine-tuning strategies.

• Data & Retrieval: Advanced retrieval systems and memory architectures.

• Agent Frameworks: Hands-on experience with frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems.

• AI Ops: Evaluation, observability, and safety frameworks for production AI systems.

• Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI.

• Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems.

• Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps.

• The 0→1 Archetype: Ability to thrive in ambiguity, build cutting-edge AI products from the ground up, and scale them into robust, self-sustaining enterprise systems.

For exceptional talent based in California, the target base salary range for this position is posted below. Our sala