---
title: 'Senior Software Engineer - AI Platform & Frameworks at Uberall'
canonical: 'https://feeny.ai/job/senior-software-engineer-ai-platform-frameworks-uberall-europe-618xn83vq4g7'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Software Engineer - AI Platform & Frameworks at Uberall

- **Company:** Uberall
- **Location:** Europe
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-06-30
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/Uberall/883b1e67-4cf6-4a39-8961-139259cf53c3/application

**Skills:** Kotlin, JVM, Spring Boot, Python, LangChain, LangGraph, API design, Library design, Distributed systems, SQS, Redis, gRPC, Event-driven architectures, AWS, Infrastructure-as-code, LLMs, Langfuse, MLflow

> Lead the design and development of AI platform frameworks, including agentic libraries and Kotlin/Spring Boot services. Mentor teams, set architectural standards, and drive adoption of reusable components across the organization.

## Job description

## ABOUT THE ROLE

We're looking for a senior engineer to own the JVM platform that the rest of engineering builds on, and to point it at one goal: making it easy for internal teams to ship LLM-powered agents.

Concretely, that means implementing in the Kotlin and Spring Boot ecosystem: reusable libraries, Spring Boot starters, templates, and shared building blocks that teams depend on. The difference from a classic platform role is what those foundations are for. Agents need message routing, tool exposure, memory and state handling, human-in-the-loop workflows, MCP integration, and evaluation and guardrail hooks. The team, which is internally called the BASE team, focuses on turning it into a platform.

This is a high-leverage, builder-and-multiplier role. You'll make foundational design decisions, set the patterns and standards other engineers follow, and raise the bar for everyone building on top. Because your foundations sit underneath many teams' work, understanding how the company fits together (its products, domains, and the teams behind them) is central to doing the job well.

You don't need to arrive as an agent expert, but you have to be interested in understanding the concepts, learn and provide reusable solutions in that field in the long run.

## WHAT YOU'LL DO

- Own the design of shared libraries, Spring Boot starters, and templates, making the architecture, API, and trade-off decisions that determine how easily internal teams ship on top of them.
- Build the JVM-side foundations agents run on: message routing, tool and capability exposure, state and memory handling, human-in-the-loop workflows, MCP integration, and the surrounding plumbing.
- Drive technical work across our Kotlin/Spring Boot services and the client libraries that wrap them.
- Take part in defining the evaluation and guardrail strategy so we can measure agent quality and reliability and catch regressions before they reach customers.
- Set the patterns and standards for how teams build agentic systems here, and bring those teams along with them.
- Build and maintain a clear map of the wider ecosystem, meaning how our systems, domains, and teams connect, and use it to make foundational decisions that fit real needs across the company.
- Drive adoption and multiply other engineers: Mentor teams, review designs and code, own the docs and examples that turn a good framework into one that teams actually choose, and feed what you learn back into the platform.
- Raise the bar on developer experience: clear APIs, good defaults, useful errors, documentation people actually read, and hold the platform to it.

## WHAT WE'RE LOOKING FOR

- 5+ years of professional software engineering experience, including a track record of building libraries, frameworks, or platform components that other engineers built on.
- Deep experience with Kotlin and/or Java on the JVM, and with Spring Boot, plus strong instincts for API and library design. You know what makes a foundation pleasant to build on versus painful.
- Demonstrated technical leadership: you set direction, make and justify architectural trade-offs, and lift the engineers around you, with or without formal authority.
- Genuine drive to lead on agentic AI and its surrounding tooling: orchestration, evaluation, guardrails.
- The judgment to drive ambiguity to clarity: to take an open-ended or unfamiliar problem and turn it into a well-scoped design others can execute.
- A systems thinker who owns the bigger picture: you actively understand how the company's products, domains, and teams connect, and design for the whole, not just the module in front of you.
- Good cross-team communication: you are able to work and communicate with multiple teams as we are providing the baseline of their development.
- Working familiarity with AWS (or any Cloud) and Kubernetes: enough to reason about how your libraries behave once deployed.

## STRONG PLUS

These aren't entry requirements, but they're what will make you effective fastest:

- Hands-on experience building agents and agent graphs: multi-step orchestration, tool use, memory, and the failure modes that come with non-deterministic systems.
- Practical Python skills: our agent-side tooling is Python, so you should be comfortable enough in the language to prototype, read others' code, and act as a senior voice across both stacks. Deep experience running large-scale Python in production isn't expected.
- Experience defining evaluation, experiment-tracking, or observability strategy for ML or agent systems.

## NICE TO HAVE

- Distributed systems background: messaging and queues (SQS, Redis), gRPC, event-driven architectures, including the failure modes and operational realities.
- Deeper AWS and infrastructure-as-code experience.
- Experience growing a platform or DevEx practice: standards, golden paths, and adoption across multiple teams.
- Contributions to or maintenance of open-source libraries or frameworks.

## About Uberall

## Company Overview
- **One-liner**: Uberall provides an AI-powered multi-location marketing platform that helps brands manage their digital presence across search, social, maps, and AI discovery to drive local visibility, engagement, and revenue.
- **Entity Type**: Private (Growth Stage, €143M total funding)
- **Headquarters**: Berlin, Germany
- **Founded**: 2013
- **Founders**: David Federhen and Florian Hübner

## Core Business
- Primary industry: Software Development / Multi-Location Marketing Technology (MarTech)
- Target customers: B2B, serving multi-location brands (retail, hospitality, food & beverage, automotive) and global enterprises
- Mission or purpose statement: "Empowering Brands to Thrive Locally" — connecting online discovery with real-world experiences so local businesses and global brands can succeed everywhere customers search, shop, and connect.

## Products & Services
- **Listings Management**: Create, publish, and optimize business listings across 150+ directories (Google, Apple, voice search, AI-powered tools) to boost visibility and foot traffic.
- **Review Management**: Monitor, respond to, and improve reviews across all locations using AI for bulk replies, sentiment analysis, and reputation management.
- **GEO Studio**: A Generative Engine Optimization solution that helps brands provide the accuracy, trust signals, and local context AI needs to select their locations.
- **Locator & Local Pages**: SEO and GEO-optimized local pages with fast-loading, mobile-optimized experiences and built-in CTAs for directions, booking, and reviews.
- **Local Social**: AI-powered social media posting across Facebook, Instagram, LinkedIn, Google, and Apple to drive engagement and conversions.
- **Location Performance Optimization (LPO)**: AI-powered insights tracking search visibility, conversions, sentiment, competitor trends, and revenue impact.
- **UB-I (Agentic AI)**: An always-on AI agent that continuously monitors locations, identifies priorities, and orchestrates actions to boost visibility, engagement, and revenue.
- **Analytics**: Track and maximize local marketing performance with data-backed insights and growth opportunities.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (Private company)
- **Key Metric**: €143M total funding raised to date (as of company website); estimated annual revenue of $25.0M (per LinkedIn data)
- **Notable Investors/Partners**: Trusted by brands including KFC, Søstrene Grene, QPark, and Barceló. G2 Fall 2025 award winner for Best Support, Momentum Leader, Easiest Admin, and Easiest To Do Business With.
- **Growth Signals**: Manages over 1.3 million locations across 194 countries; 315 employees (+1.7% YoY growth); 9 prior funding rounds with $175.6M in total funding (per LinkedIn); expanding globally with offices in Germany, US, Philippines, Canada, and France.

## Competitive Advantages
- **First-mover in GEO (Generative Engine Optimization)**: Offers a dedicated solution (GEO Studio) to optimize for AI-driven search discovery, a rapidly growing market.
- **Comprehensive, All-in-One Platform**: Combines listings, reviews, social, local pages, analytics, and AI agents in a single platform — reducing the need for multiple vendors.
- **Agentic AI (UB-I)**: Differentiated by an always-on AI agent that proactively monitors and optimizes location performance, going beyond passive analytics.
- **Global Scale & Local Depth**: Manages over 1.3M locations in 194 countries, with deep local market expertise across retail, hospitality, F&B, and automotive.
- **Strong Brand Trust**: Recognized by G2 as a leader and trusted by major global brands.

## Strategic Focus
- **AI-First Innovation**: Deep investment in Generative Engine Optimization and Agentic AI (UB-I) to stay ahead of the shift toward AI-powered local discovery.
- **Global Expansion**: Continuing to grow presence across North America, Europe, and Asia-Pacific, with a distributed workforce spanning 30+ countries.
- **Platform Consolidation**: Positioning as the single platform for multi-location brands to manage all aspects of local digital presence, from listings to AI-driven optimization.
- **Customer Obsession**: Focus on delivering measurable ROI for clients through data-driven insights and automated actions.

## Why Work Here
- **Culture & Values**: Described as "truly human culture" with high performance, openness, collaboration, and authenticity. Values include "Be Customer Obsessed," "Be Bold & Drive Change," "Demonstrate Passion & Performance," and "Grow Together." Inclusion is a core operating principle, not just a program.
- **Remote/Hybrid Policy**: "Choice-First environment" — employees can work from global offices or remotely; coming to an office is not required. Offices available for collaboration.
- **Global & Diverse Team**: Over 400 Uberallers representing 50+ nationalities across 30+ countries.
- **Growth & Development**: Learning Grant program, Power Skills Academy, and Leadership Foundations for continuous development.
- **Compensation**: Competitive benefits tailored to local markets; Long-term incentive plans through Virtual Stock Option Plan (VSOP) and Equity Plan (ESOP) for all eligible employees.
- **Engineering Culture**: AI-first organization with a human approach to hiring. Encourages AI fluency and curiosity; values using AI to support, not replace, human work.
- **Hiring Process**: Transparent, respectful process with initial chat, team interviews, culture & values interview, and structured onboarding. Human-driven decision-making at every stage.

## Sources
1. [uberall.com - Careers Page](https://uberall.com/en-us/company/careers)
2. [uberall.com - About Us](https://uberall.com/en-us/company/about-us)
3. [uberall.com - Homepage](https://uberall.com/en-us)
4. [linkedin.com - Uberall Company Page](https://www.linkedin.com/company/get-uberall)
5. [cbinsights.com - Uberall Profile](https://www.cbinsights.com/company/uberallcom)

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