Software Engineer, Agent (New Grad 2027)

Software Engineer, Agent (New Grad 2027)

Full-Time 77850 - 95150 £ / year (est.) On-site
S

At a Glance

  • Tasks: Design and deliver cutting-edge AI agents that drive real business impact.
  • Company: Join Sierra, a leader in customer-facing AI with a vibrant culture.
  • Benefits: Enjoy competitive pay, health perks, remote options, and growth opportunities.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Be part of a transformative team shaping the future of AI technology.
  • Qualifications: Experience in software development and a passion for problem-solving.

The predicted salary is between 77850 - 95150 £ per year.

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, So Fi, Sutter Health, and Soft Bank — 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 https://www. linkedin. com/in/brettaylor/ and Clay Bavor https://www. linkedin. com/in/claybavor/.

Bret currently serves as Board Chair of Open AI.

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 https://sierra. ai/blog/meet-the-ai-agent-engineer: 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 https://sierra. ai/blog/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
  • 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 https://sierra. ai/blog/five-ways-to-use-ai-agents-financial-services!

  • 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, Type Script, 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 respec
  • #J-18808-Ljbffr

Software Engineer, Agent (New Grad 2027) employer: Sierra AI

Sierra AI is an attractive employer due to its commitment to employee development and a supportive work culture. The company provides opportunities to work on cutting-edge AI technology while maintaining a strong focus on work-life balance. Employees can expect to engage in meaningful projects that have a real impact on customer experiences.

S

Contact Details:

Sierra AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Agent (New Grad 2027)

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Sierra AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Sierra AI.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Sierra AI.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Sierra AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Software Engineer, Agent (New Grad 2027)

AI Agent Development
Production Systems
Technical Problem-Solving
Customer Engagement
Communication Skills
React
TypeScript

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Sierra AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sierra AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Sierra AI

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Sierra AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.