Ai Backend Engineer

**Help us bring people and businesses together**

Our SaaS platform enables multi-location brands and businesses to boost their online presence in a rapidly evolving world. From big to small, from Adidas to ZenPark, our client base contains some of your favourite brands as well, we bet.

**The Past, Present & Future**

**The Past**: Founded in 2013 by David Federhen and Florian Hübner, two longtime friends with a vision to improve customer experience across the online and offline worlds, they created a platform that connected companies with local customers in the digital-first moment.

**The Present**: We're on a mission **to put every single business on the map**, and believe every business deserves success, regardless of size or location. Simply put, our location marketing platform exists to help our customers get found online and connect with customers through search, discovery, engagement and conversion.

**The Future**:We're a growing company with a bright future. We have established ourselves as a rising thought leader through the introduction of Location Performance Optimization (LPO). Our AI strategy is gaining momentum and it's setting us apart in the market. Our agentic AI 'UB-I' moves us from features and functions to business outcomes. UB-I will work 24/7 to optimize location performance, driving engagement, visibility and, most importantly, measurable results. As AI changes search far beyond traditional SEO results, we are at the forefront of enabling our customers to reach theirs in this new era. We have a passionate and diverse team, a comprehensive, intuitive platform and a clear vision for the future. We're looking for talented, passionate people, with an AI-first mindset, (like you \uD83D\uDC4B) to join us on our journey.

**You and us**

We are more than 400 Uberallers, with 50+ different nationalities in 30+ countries, who live and breathe our core values:
\uD83C\uDF35 GROW TOGETHER
- DEMONSTRATE PASSION & PERFORMANCE

✊ BE BOLD & DRIVE CHANGE

\uD83D\uDE80 BE CUSTOMER OBSESSED

**About The Role**:
We are looking for a talented AI Engineer to join our team and help design, build, and deploy intelligent agents that can understand, reason, and act on behalf of our customers. You will work at the cutting edge of applied AI — combining LLMs, retrieval-augmented generation (RAG), knowledge graphs, and autonomous agent frameworks — to solve real-world customer engagement problems at scale.

This is a highly collaborative and impact-driven role, working closely with product managers, designers, data scientists, and engineers.

**Your Responsibilities**:

- Design and implement AI agent architectures tailored to customer engagement and automation use cases.
- Develop and maintain pipelines for agent reasoning, memory, planning, and tool use — integrating LLMs, RAG systems, and external APIs.
- Evaluate models and agents to improve performance, reliability, and alignment.
- Collaborate on building a robust agent framework with support for multi-step workflows and dynamic goal execution.
- Optimize agent cost, latency, and safety for production environments.
- Monitor, test, and continuously improve deployed agents based on customer feedback and analytics.
- Stay ahead of emerging trends in agent-based AI and proactively bring innovative ideas into our products.

**Your Profile**:

- Solid experience (3+ years) in software engineering with a focus on AI/ML systems.
- Hands-on experience with LLMs, RAG pipelines, prompt engineering, or autonomous agent frameworks (e.g., LangChain, CrewAI, AutoGPT).
- Strong programming skills in Python (preferred) and familiarity with cloud environments (AWS preferred).
- Good understanding of information retrieval, knowledge graphs, and/or planning & reasoning in AI.
- Familiarity with MLOps, experiment tracking, and model deployment practices.
- Experience working with unstructured text data and NLP tasks.
- Excellent problem-solving skills, with a bias towards delivering results.
- Strong communication and teamwork abilities in a fast-paced, collaborative environment.
- Nice to have: Experience with reinforcement learning or agent simulation environments.
- Nice to have: Background in human-in-the-loop systems or AI safety/alignment.
- Nice to have: Contributions to open-source agent frameworks or NLP libraries.

**What we offer**:
\uD83D\uDC9C **A mission with meaning and purpose** At Uberall, we foster genuine connections between local businesses and people. Our diverse team allows us to win together with our partners, co-workers, and customers. Speaking of our customers, they’re some of the most recognizable businesses in the world.

\uD83D\uDE01 **A truly human culture** We’re famous for our culture. Uberallers live by our values. We’re open, collaborative risk-takers with a whole lot of passion and grit.

\uD83E\uDD38\uD83C\uDFFD‍ ️** Flexibility** **to** **fit** **your** **lifestyle** Want to come to an office for collaboration? We’ve got space for you in