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ATOSS Software SE
(Senior) Software Engineer – AI/ML (m/f/d)
ATOSS Software SE
Bengaluru•Hybrid•5-8 Yrs•2 days ago
Job description
Hybrid
Overview
Help bring AI-powered capabilities for workforce management into production.
Responsibilities
- 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 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.
- Mentor engineers through code reviews, technical guidance, and knowledge sharing.
- Strong experience building backend applications with Java or another statically typed language.
- Strong experience designing, building, and operating APIs, services, and distributed systems in production environments.
- Solid 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.
Qualifications
- Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or pgvector.
- Hands-on experience with Kubernetes, ideally within Azure Kubernetes Service (AKS) environments.
- Competitive salary and benefits package, including comprehensive insurance & wellness support, meal cards, and in-house refreshments
- Opportunities for professional growth and development
- A collaborative and innovative work environment
- Over 15,000 well-known customers | Sustainable growth of over 10% | Over 30% EBIT | Listed on the German Stock Market: SDax & TecDax | Security & stability
Nice to have
- Experience with LangChain or similar technologies
- Experience in building multi-tenant SaaS platforms
Benefits
- Competitive salary and benefits package
- Opportunities for professional growth