Software Engineer, Agent (New Grad 2027)

Academic Key; Greater London; Hybrid; GBP 52,000 - 80,000; Full time

Job summary

Sierra seeks a Software Engineer, Agent (New Grad 2027) in London to design and deliver production-grade AI agents central to Sierra's growth. You will own the Agent Development Life Cycle from pilot to deployment, building scalable, reliable systems across industries such as finance and healthcare.

You will partner with large enterprises and innovative startups to implement agent-based solutions. You will work with our research, product, and platform teams to evolve Sierra's core platform,

Qualifications

• Experience building and scaling end-to-end production systems.
• Strong problem-solving skills in fast-changing environments.
• Comfort working directly with customers to understand needs.

Responsibilities

• Design and deliver production-grade AI agents.
• Own ADLC from pilot to deployment and iteration.
• Collaborate with enterprises and startups to scale AI agents across business stacks.
• Shape the Sierra platform by surfacing unmet needs and prototyping tools.

Skills

End-to-end prod systems

Technical problem solving

Customer-facing

Communication

Ambiguity handling

Tools

React

TypeScript

Go

AI/LLM tools

RAG pipelines

Prompt engineering

Job description

Software Engineer, Agent (New Grad 2027)

Sierra · London

Abroad

Full Time

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. 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 a commitment to balancing Family along the way. 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 Sierra, 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.

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 Sierra'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 Sierra'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 Sierra's product.

Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog ! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers

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 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 ever