Krakow

LumApps•Webster, MA

72d•Hybrid

About The Position

LumApps is now more than just an Employee Experience Platform — it is an AI-powered Employee Hub that supports companies in their digital transformation of communication, collaboration, and engagement with their customers, partners, and above all their employees. Our platform is a proven leader in this dynamic market with a truly unique vision and product. It has been deployed by Fortune 500 clients around the world and is delivering meaningful business benefits. LumApps is identified as a leader in Gartner's Magic Quadrant for Intranet Packaged Solutions as well as in Intranets Forrester Wave, and regularly selected for the French Tech Next40/120 program. ✨ In 2025, LumApps strengthened its leadership position by partnering with Beekeeper, a pioneer in frontline employee experience solutions. This strategic collaboration expands our reach and impact across all types of workers — from HQ to the frontline. Our mission: To make people feel that they belong and have a purpose. To create an environment where all employees are engaged and work together towards the same goal. Over 700 leading companies trust our solution to: 🎯 Improve the productivity of their teams with our AI-powered Collaborative Experience Platform integrated with both Google and Microsoft collaborative suites, 🎯 Transform employees into real ambassadors of their company, 🎯 Make employees more efficient and better connected to their peers and relevant information, regardless of their location, with the tools and information they need at their fingertips, 🎯 Help companies reduce turnover, accelerate employee onboarding, better collaborate and share knowledge, and even improve their customer experiences. With a team of over 600 Lumies spread across 11 offices (Lyon, Paris, Lille, Sophia Antipolis, London, Barcelona, Hamburg, Austin, Tokyo, Zurich, Krakow), we support large enterprises all around the world. Over the past year, we have been driving an ambitious phase in our journey under the impulse of our new shareholder Bridgepoint, aimed at propelling us to become the clear leader in our market and shine worldwide in our industry. We are looking for individuals who are excited to actively participate in this transformation. If these core values sound like you: "be bold, do amazing things", "say what you mean, do what you say", "one team, same mission", "always be evolving": apply now! Are you a seasoned Software Engineer passionate about bridging the gap between robust backend systems and cutting-edge Artificial Intelligence? At LumApps, we are looking for a builder who cares as much about API latency and system scalability as they do about LLM integration. As a Senior AI Backend Engineer, you will play a pivotal role in our mission by architecting and building the production-grade infrastructure that powers our AI solutions. You won't just be prototyping; you will be engineering resilient, scalable systems that impact millions of users. You will collaborate closely with product squads and fellow engineers to design, implement, and deploy AI-driven features within a complex distributed architecture. This role requires a strong foundation in backend engineering, distributed systems, and a pragmatic approach to applying AI in a SaaS environment. Our tech stack: AI: We make use of the best of Google Vertex AI technologies, we build agents with AWS Strands Cloud Infrastructure as Code: We operate on GCP and AWS across multiple regions and we manage our infrastructure using Spacelift and Terraform. Container Orchestration: Our services run in containers using Kubernetes (EKS and GKE) managed with Helm and FluxCD/ArgoCD. Backend Services: Predominantly built in Python. Data Stores: We utilize PostgreSQL, MySQL, ClickHouse, BigQuery, Redis, and Elasticsearch. Monitoring and Logging: Implemented through Prometheus, Datadog, Grafana

Requirements

Senior Engineering Foundation: 5+ years of experience in backend software development with a strong focus on building scalable, distributed systems (not just scripts or prototypes).
Backend Fluency: Deep proficiency in Python. You understand concurrency, asynchronous programming, and how to build production-grade web servers.
System Architecture: Proven experience with microservices architecture, API design, and integrating backend services with frontend clients (web/mobile).
Production Experience: You have successfully shipped and maintained software in a high-load production environment. You understand what happens after deployment (monitoring, logging, alerts).
AI Implementation: Practical experience integrating Generative AI/LLMs into software products (e.g., agentic workflows with Strands/LangChain/ADK, using RAG patterns, etc).
Technical Depth: You can explain the "why" and "how" behind your code and architectural choices. You value deep understanding over blind implementation.
Pragmatism: You prioritize delivering value to customers and shipping fast, adapting technical solutions to business needs.

Nice To Haves

Experience with cloud-native infrastructure (GCP/AWS/Azure, Kubernetes, Docker).
Familiarity with MLOps tools and pipelines for managing model lifecycle.
Experience optimizing API performance and handling latency in AI-driven applications.
Contributions to open-source projects related to AI engineering or backend infrastructure.

Responsibilities

Architect & Build Agentic Systems: Design and develop scalable backend services and robust REST APIs specifically for hosting and orchestrating AI Agents, serving their capabilities to our web and mobile frontends.
Productionize Agents: Move AI Agent prototypes to high-performance production systems, ensuring reliability, observability, and scalability within a distributed architecture.
Integrate & Empower Agents: Seamlessly integrate Large Language Models (LLMs) and other AI services as tools and components for our AI Agents within our existing Python/Java microservices ecosystem.
Ownership: Take full technical ownership of agentic features - from architectural design and code implementation to deployment and monitoring.
Mentor & Lead: Act as a senior technical voice, advocating for engineering best practices, code quality, and architectural simplicity in the context of agentic development.
MLOps for Agents: Automate pipelines and infrastructure to streamline the deployment, monitoring, and continuous improvement of AI Agent services.

Benefits

Hybrid work model – 2 days at the office, 3 days remote
RTT days – ~10 extra days off per year
Meal vouchers (SWILE) + free snacks & coffee
Yoga classes - Take a mindful break in our Paris office
Supportive parental leave and family moments — yes, even a Christmas party for your kids !
Health insurance (ALAN) – 60% covered + full life & disability cover
Afterworks, team celebrations & seasonal parties
Equipment of your choice
French & English lessons, professional development & access to Leeto CSE
Phone & Home Internet costs reimbursement up to 80 PLN/month
Private health care package with Luxmed – covered for you and partially for your partner / family
Cafeteria benefits – monthly budget to cover sport cards or other purchases
Creative Allowance – paid as 1000 PLN gross/month
Home office set-up reimbursement up to 1000 PLN
Personal Learning & Development Budget of 1500 USD/year
26 days of annual leave/year and 2 Mental Health days off per year