{"id":880758,"url":"https://alion.io/job/crewmeister-senior-software-engineer-aiml-mfd","title":"(Senior) Software Engineer - AI/ML (m/f/d)","company":{"id":674108,"name":"Crewmeister","domain":"crewmeister.com","url":"https://alion.io/company/crewmeister","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Promptfoo","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ragas","optional":false},{"name":"Terraform","optional":false},{"name":"Weaviate","optional":false},{"name":"Amazon EKS","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-07-28T16:01:06Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-14T19:41:56Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"Senior Software Engineer - AI/ML\nWith over 20,000 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.\nAs 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.\nAI is transforming how software is built, and we're 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.\nIf you're excited about building scalable backend systems while pushing the boundaries of AI-enabled product development, we'd love to hear from you.\nThis 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.\nWe are hiring at both Software Engineer and Senior Software Engineer levels; candidates will be assessed based on their overall experience, technical depth, ownership, and impact.\nLocation: Bangalore (Whitefield, ITPL)\nWe 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.\nKey Responsibilities \nDesign, build, and operate backend services and APIs that power AI-driven and traditional product capabilities within the ATOSS platform.\nDevelop high-quality production software using Java, and secondarily Python, with a strong focus on reliability, maintainability, and performance.\nOwn services end-to-end, from architecture and implementation through deployment, monitoring, and ongoing operations.\nIntegrate LLMs, AI agents, and retrieval-based solutions into production applications.\nBuild and improve evaluation, monitoring, and observability capabilities for AI-powered features.\nContribute to CI/CD pipelines, deployment automation, and engineering best practices.\nHelp ensure AI-powered systems are scalable, secure, and production-ready.\nTroubleshoot complex production issues and drive continuous improvements in system reliability and performance.\nWork closely with AI Engineers, Product Owners, and Cloud Operations teams to bring new capabilities into production.\nMentor engineers through code reviews, technical guidance, and knowledge sharing.\nOur Technology Stack\nOur team works with a modern AI and cloud-native technology stack including Java, Python, AWS, EKS, Docker, Kubernetes, LangGraph.\nAs part of Crewmeister's AI team in Bangalore, you'll 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.\nKey Requirements \nMandatory\nStrong experience building backend applications with Java.\n\nStrong experience designing, building, and operating APIs, services, and distributed systems in production environments.\nProficient Python skills for automation, integrations, and AI-related development.\nHands-on experience with cloud platforms such as Azure, AWS, or GCP, as well as modern CI/CD practices and containerized applications using Docker.\nStrong understanding of monitoring, logging, and observability, with a focus on building reliable and maintainable systems.\nPractical experience building, integrating, deploying, or operating AI-powered applications, LLM-based solutions, retrieval systems, agentic frameworks, or similar technologies in a professional environment.\nPreferred\nExperience with frameworks such as LangChain, LangGraph, CrewAI, or similar technologies for building AI-powered applications.\nFamiliarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or pgvector.\nExperience working with Retrieval-Augmented Generation (RAG) architectures and AI evaluation frameworks such as Ragas, Promptfoo, or similar tools.\nHands-on experience with Kubernetes, ideally within Azure Kubernetes Service (AKS) environments.\nExperience with Infrastructure as Code using Terraform or similar technologies.\nExperience building multi-tenant SaaS platforms or enterprise software products.\nWhy Crewmeister\nJoin one of Europe's fastest-growing SaaS companies.\nHelp shape the future of AI-enabled software development.\nWork on meaningful products used by thousands of businesses.\nBe part of a collaborative engineering culture focused on learning, ownership, and continuous 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