Software Engineer, Back-End (LLM Agents)

United States Digital Space LLC; Berlin; Hybrid; EUR 95.000 - 135.000; Vollzeit

Benefits dieser Stelle

Relocation support

Hybrid work model

Zusammenfassung

United States Digital Space LLC is seeking a Back-End Software Engineer to build ambitious AI features and own them end-to-end, from idea to production. The role emphasizes LLM-powered, agentic experiences with a stack-flexible approach and a focus on scalable back-end services.

We offer a dynamic hybrid working model and relocation support to Berlin. You will collaborate cross-functionally with product, design, linguists, and other engineers to ship high-quality AI products in a fast-paced

Qualifikationen

• 5+ years of relevant experience in back-end development.
• Describes themselves as back-end-strong but stack-agnostic, and is comfortable working across the stack.
• Hands-on experience with LLM-powered or agentic features with performance trade-offs.
• Proficient in Java, Go, or Python.
• Experience with AWS or GCP.
• Strong fundamentals in algorithms and data structures.
• Experience building, deploying, and debugging production systems at scale.

Aufgaben

• Build ambitious, LLM-powered and agentic AI features end-to-end—from idea to production.
• Design services, protocols, and data flows for reliable, fast and scalable features.
• Start building and shipping code in your first week and deliver impact within months.
• Maintain production services with high call rates and high availability.
• Tackle ambiguous problems, estimate work, and balance quality, cost, and latency.
• Move across the stack as needed—from client platforms to shared protocols.
• Learn infrastructure as code (IaC) and ship iteratively.
• Mentor new hires and raise engineering standards.

Kenntnisse

Backend development

Java

Go

Python

Cloud

Tools

AWS

GCP

Azure

Jobbeschreibung

the company offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. the company team members in this role must be based in Berlin.

About SuperhumanGrammarly is now part of the company, the AI productivity platform on a mission to unlock the the company potential in everyone. The the company suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, the company Docs’ collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, the company empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at the company.com.

The Opportunity

We're looking for a Back-End Software Engineer who wants to build ambitious AI features and own them end-to-end, from idea to production. The team is moving quickly on LLM-powered and agentic experiences, and the technical foundation of this role is back-end engineering: designing the services, protocols, and data flows that make these features reliable, fast, and scalable. At the same time, this is not a narrowly defined back-end position. The right person is comfortable moving across the stack when the product demands it—whether that means working on a client platform, a shared protocol, or the infrastructure needed to bring a feature to life.

This is a high-ownership role. You'll take on sizeable, often ambiguous problems, shape the scope, estimate the work, and make the quality, cost, and latency trade-offs that are unique to AI products. You'll ship in tight iterations, learn from real user behavior, and keep improving the experience. The ideal person is a back-end-strong, stack-flexible builder who enjoys turning unclear problems into shipped products and can take an AI feature from concept to users with minimal hand-holding.

the company's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Back-End Engineer on this team, you will:

• Build ambitious, LLM-powered and agentic AI features and own them end-to-end, from idea to production.
• Design the services, protocols, and data flows that make AI features reliable, fast, and scalable.
• Start building and pushing code in your first week and ship impactful features in your first few months.
• Build and support production services with high call rates, targeting high availability for consumer and enterprise customers.
• Take on sizeable, ambiguous problems—shaping scope, estimating work, and making the quality, cost, and latency trade-offs that are unique to AI products.
• Move across the stack when the product demands it, from a client platform to a shared protocol to the infrastructure that brings a feature to life.
• Learn how to build infrastructure as code (IaC).
• Ship in tight iterations and learn from real user behavior to keep improving the experience.
• Have the opportunity to mentor new hires and help raise the engineering bar across the team.

Qualifications

Has 5+ years of relevant experience in back-end development.

• Describes themselves as back-end-strong but stack-agnostic, and is comfortable working across the stack—including on client platforms or shared protocols—when the product needs it.
• Has hands-on experience building or integrating LLM-powered or agentic features (well beyond a one-off API call), with a real feel for the cost, latency, streaming, and quality/false-positive trade-offs that come with AI products.
• Is proficient in one or more of Java, Go, or Python.
• Has experience with AWS or GCP (other cloud offerings such as Azure are a plus).
• Displays excellent software engineering fundamentals, including knowledge of algorithms and data structures.
• Has experience building, deploying, and debugging production systems at scale.
• Demonstrates perseverance when faced with tough technical issues.
• Cares about the end-user experience and strives to ensure high quality.
• Collaborates effectively with cross-functional partners—product managers, designers, linguists, and engineers on other platforms—rather than shipping in isolation.
• Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, and thrives in fast-paced, results-driven environments.

Support for you, professionally and personally

• Professional Growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being
• A connected team: the company builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first, hybrid model enables a highly collaborative culture rooted in our values. We work to foster belonging among team members in a variety of ways. This includes our team member resource groups, the company Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
• Comprehensive benefits for candidates based in Germany: the company offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.
• Relocation Support: the company provides relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing.

the company is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, color, gender expression or identity, sexual orientation, sexual identity, national origin, citizenship, age, marital status, veteran status, disability status, criminal prosecution, judgment in a criminal case, or any other characteristic protected by law.

For more details about the personal data the company collects during the recruitment process, for what purposes, and how you can address your rights, please see the the company Data Privacy Notice for Candidates here.

Compensation: €95K – €135K