Software Engineer, Agent - Tech, Media & Telecom

United States Digital Space LLC; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible PTO

Medic

Job summary

United States Digital Space LLC in San Francisco is seeking a Senior AI Engineer to design and ship production-grade AI agents that power customer experiences across industries.

You'll own the ADLC from pilot to production, partner with enterprises and startups, and collaborate with product, research, and platform teams to evolve our AI agent platform while delivering tangible value to customers.

Qualifications

• Experience building and scaling end-to-end production systems.
• Strong technical problem-solving skills in fast-changing environments.
• Builder and tinkerer's mindset with high agency to ship.
• Comfort working directly with customers to understand needs and solve problems.
• Excellent communication across technical and non-technical audiences.
• Excitement in Tech, Media & Telecom space and a care for brand loyalty.
• Even better: experience with AI/LLM systems in production.
• Founder or founding engineer experience is a plus, balancing craft, ownership, speed.
• Familiarity with AI agent tools: eval frameworks, agent tooling, RAG pipelines, prompt engineering.
• Prior experience with React, TypeScript, and/or Go.
• Experience interfacing with customers or leading external projects

Responsibilities

• Design and deliver production-grade AI agents powering core customer interactions.
• Own the Agent Development Life Cycle from pilot to deployment to continuous iteration.
• Collaborate with enterprises and startups to scale AI agents across domains.
• Shape the platform by surfacing unmet needs and prototyping new tools with product/research teams.
• Drive impact by delivering scalable, reliable AI solutions in production environments.

Skills

End-to-end production systems

Customer-facing communication

Problem-solving in ambiguity

Builder mindset

External stakeholder leadership

Tools

React

TypeScript

Go

Eval frameworks

RAG pipelines

Prompt engineering

Agent tooling

Job description

About usAt the company, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.

We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.

Our co‑founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co‑CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google’s earliest product managers and co‑creator of Google Maps. Before founding the company, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.

About the Tech, Media & Telecom team We work with some of the world’s most influential and recognizable companies, from global telecommunications providers and leading media brands to technology platforms that power businesses worldwide.

• We build agents for the moments that matter, helping our customers rise to the occasion when service disruptions, major product launches, or global events like the World Cup drive millions of customer interactions.

• We bring the company’s Horizon vision to TMT by building agents that transform the entire customer relationship:

• Telecommunications: Turn one of the most frustrating customer experiences into one of the most personal, with agents that understand each subscriber, optimize their plan and savings, anticipate opportunities to add value, and earn their loyalty over time.

• Media: Turn every subscription into an ongoing, personalized relationship, with agents that help each subscriber get the most from their experience through the right content, offer, plan, and support from their free trial through retention.

• Technology: Bring the white‑glove customer experience traditionally reserved for the largest enterprise accounts to every customer, helping them adopt the product, discover new ways to get value, expand their usage, and successfully renew.

What you’ll do Design and deliver production‑grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission‑critical and drive revenue directly to the company's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.

• Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.

• Partner with large enterprises and cutting‑edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting‑edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.

• Build the future of the platform: Your direct work with customers will guide the evolution of the company's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and the company's product.

Example projects These are some examples of projects that engineers on our team have worked on recently:

• Create agents that pursue goals over weeks and months, reasoning about when to reach out, which channel to use, and what next action will move a customer relationship forward.

• Develop personalization and experimentation systems powered by the company's Context Engine that combine customer data, behavior, prior conversations, and real‑time context to determine the right offer or experience, then learn from every interaction and experiment to autonomously improve personalization over time.

• Design conversational discovery agents that reason across huge content catalogs and rich subscriber context, using interests, history, entitlements, and the moment at hand to help someone quickly find something they'll actually want to watch, read, or listen to.

• Build agents that troubleshoot deeply integrated telecommunications and connected‑device experiences, reasoning across account, billing, network, and device systems to diagnose issues and take the actions needed to resolve them.

• Experiment with new voice experiences and Voice Personas tailored to each brand, customer, and moment, bringing the right empathy, energy, and conversational style to everything from navigating a frustrating telecom billing issue to helping someone discover their next favorite show or find the plan that’s right for them.

What you'll bring Experience building and scaling end‑to‑end production systems.

• Strong technical problem‑solving skills, especially in fast‑changing, ambiguous environments.

• A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship.

• Comfort working directly with customers to understand their needs and solve real‑world problems.

• Excellent communication skills—clear, direct, and persuasive across technical and non‑technical audiences.

• Excitement in the Tech, Media & Telecom space and a care for helping some of the world’s top brands continue to build brand loyalty with their customers.

Even better Experience building or deploying AI/LLM systems in production

• Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed

• Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering

• Prior experience with React, TypeScript, and/or Go

• Previous roles where you interfaced with customers or led technical projects with external stakeholders

Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.

• Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.

• Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self‑reflect to continuously self‑improve.

• Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.

• Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.

What we offer We want our benefits to reflect our values and offer the following to full‑time employees:

• Flexible (unlimited) paid time off

• Medic