Backend Software Engineer AIML (mfd)

Software Engineer AI/ML

With over 20000 customers Crewmeister is one of the fastest-growing workforce management software providers in Germany. Our success is driven by great products strong teamwork and people who are passionate about building exceptional software.

As part of the ATOSS Group we combine the agility and ownership of a scale-up with the stability and resources of a leading software company.

AI is transforming how software is built and were investing in engineers who can help shape that future. We believe the next generation of software development will combine strong engineering fundamentals with AI-powered workflows tools and product capabilities.

If youre excited about building scalable backend systems while pushing the boundaries of AI-enabled product development wed love to hear from you.

This role is designed for experienced software engineers whose foundation is in backend development distributed systems and cloud-native applications. We are looking for engineers who have already gained hands-on experience with AI-powered applications LLMs AI agents or retrieval-based systems in a professional setting. However this is not a machine learning research or AI specialist role. Your primary focus will be designing building and operating reliable scalable and observable services that enable AI-powered functionality at enterprise scale.

Location: Bangalore (Whitefield ITPL)

We operate in a hybrid work model with a minimum of 50% office attendance. To support onboarding collaboration and team integration new team members are expected to work from our Bangalore office in Whitefield (ITPL) on a daily basis during their first six months. Following the onboarding period the role transitions to our standard hybrid working model.

• Design build and operate backend services and APIs that power AI-driven and traditional product capabilities within the ATOSS platform.
• Develop high-quality production software using Java and secondarily Python with a strong focus on reliability maintainability and performance.
• Own services end-to-end from architecture and implementation through deployment monitoring and ongoing operations.
• Integrate LLMs AI agents and retrieval-based solutions into production applications.
• Build and improve evaluation monitoring and observability capabilities for AI-powered features.
• Contribute to CI/CD pipelines deployment automation and engineering best practices.
• Help ensure AI-powered systems are scalable secure and production-ready.
• Troubleshoot complex production issues and drive continuous improvements in system reliability and performance.
• Work closely with AI Engineers Product Owners and Cloud Operations teams to bring new capabilities into production.

Our Technology Stack

Our team works with a modern AI and cloud-native technology stack including Java Python AWS EKS Docker Kubernetes LangGraph.

As part of Crewmeisters AI team in Bangalore youll work on the Cognitive Backend platform that powers AI-driven capabilities across our products. The team sits at the intersection of AI Engineering and core platform development ensuring AI-powered features are delivered on reliable observable and scalable enterprise infrastructure.

Key Requirements

• Strong experience building backend applications with Java.
• Strong experience designing building and operating APIs services and distributed systems in production environments.
• Proficient Python skills for automation integrations and AI-related development.
• Hands-on experience with cloud platforms such as Azure AWS or GCP as well as modern CI/CD practices and containerized applications using Docker.
• Strong understanding of monitoring logging and observability with a focus on building reliable and maintainable systems.
• Practical experience building integrating deploying or operating AI-powered applications LLM-based solutions retrieval systems agentic frameworks or similar technologies in a professional environment.

• Experience with frameworks such as LangChain LangGraph CrewAI or similar technologies for building AI-powered applications.
• Familiarity with vector databases such as Pinecone Weaviate Milvus Chroma or pgvector.
• Experience working with Retrieval-Augmented Generation (RAG) architectures and AI evaluation frameworks such as Ragas Promptfoo or similar tools.
• Hands-on experience with Kubernetes ideally within Azure Kubernetes Service (AKS) environments.
• Experience with Infrastructure as Code using Terraform or similar technologies.
• Experience building multi-tenant SaaS platforms or enterprise software products.

• Join one of Europes fastest-growing SaaS companies.
• Help shape the future of AI-enabled software development.
• Work on meaningful products used by thousands of businesses.
• Be part of a collaborative engineering culture focused on learning ownership and continuous improvement.