Staff Engineer - Golang
About Staffbase
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 750+ employees supports 2,000+ customers—reaching over 16.4 million employees—in transforming their employee experience.
We are proud to be a Unicorn company—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.
Join our dedicated, fast-paced experimentation and innovation unit, where you'll leverage cutting-edge AI and LLM technologies. This is an exciting opportunity to develop solutions that genuinely empower communicators and support frontline workers, driving strategic impact and exploring the full potential of new technologies.
Our environment
- Working with skilled and similar-minded professionals in a team that values diversity and inclusivity
- We aim to create a flexible and agile work environment that promotes the well-being and work-life balance of our employees
- We believe that team events during working hours play a vital role in building an exceptionally effective team, and we encourage them
- We are enthusiastic about technology and committed to using it to improve the world
- We follow the "You build it, you run it" approach and take pride in it
What you’ll be doing
As a Staff Engineer for Employee AI, you are a master-builder. You will spend 60% of your time writing high-stakes code and 40% guiding the technical direction of our AI initiatives. You are the person we call when a problem is too complex or high priority to solve. You will lay the tracks (infrastructure) and build the train (logic) for Staffbase’s AI future.
- Build High-Impact Solutions: Spend ~60% of your time as a hands-on contributor, leading the implementation of scalable backend services and AI-native applications
- Technical Problem Solver: Act as the technical "special forces" across 2-3 high-priority teams, solving the most complex architectural puzzles
- Bridge Prototype to Production: Partner with PMs and ML engineers to turn experimental AI ideas into high-availability, production-grade services
- Own the AI Lifecycle: Take "You build it, you run it" ownership of the end-to-end pipeline from data retrieval (RAG) and ingestion to monitoring token usage, cost, and latency
- Architect Agentic Systems: Design and build complex conversational states, multi-agent communication protocols, and the infrastructure that supports them.
- Technical Leadership: Champion engineering excellence. Influence the org’s technical direction by building prototypes and setting the standard for AI development at Staffbase
What you need to be successful
- 10+ years of Experience: A proven track record in backend software development, including previous experience in a Tech Lead or Staff Engineer capacity
- Backend Mastery: Expert-level proficiency in GoLang in microservice architecture
- AI in Production: Hands-on experience building, deploying, and scaling AI-native applications in a production environment (not just local experiments)
- Infrastructure Expertise: Deep knowledge of cloud platforms (Azure preferred) and container orchestration (Docker, Kubernetes)
- Distributed Systems: Strong understanding of event-driven architectures and high-concurrency systems
Preferred experience
- AI Operations (AIOps): Experience with LLM observability and evaluation frameworks (e.g., Langfuse, Arize Phoenix, or custom "Golden Dataset" evals)
- Efficiency Expert: Proven ability to optimize RAG pipelines for both latency and cost (e.g., semantic caching, prompt engineering, or model distillation)
- Agentic Frameworks: Familiarity with building multi-agent workflows (e.g., using LangGraph, CrewAI, or similar)
- Developer Tooling: Experience building internal SDKs or libraries that help other engineering teams adopt AI features faster
What you'll get
- Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
- Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
- Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
- Support-we’re offering a company pension scheme
- Volunteers Day- you’ll get one day off per year for supporting a social project
