Applied AI Engineer

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us? Overview You will join the Sailfin Accounts Receivable (AR) Team , a product engineering team working in the Finance and Accounting domain. The team designs, develops, deploys, and maintains a large-scale AR product used by global customers. Most of the team is based in India, including this role in Bangalore , and we work with a modern technology stack —AI/ML models, LLMs, multi-agent systems, cloud platforms, and automation frameworks. Our focus is on building secure, scalable, and intelligent solutions that transform financial operations. The Role We are looking for an Applied AI Engineer who can build production-ready predictive, generative, and agentic AI solutions for the Finance domain. You will handle end-to-end development—from identifying use cases to deploying AI features in production. You must have experience building real-world, production-grade AI and agentic systems , not just POCs. Responsibilities Partner with product owners and finance experts to identify strong AI use cases in Accounts Receivable. Design and build predictive models, generative AI features, and multi-agent systems tailored to business problems. Develop LLM-based copilots and autonomous agents , including human-in-loop flows, security guardrails, and audit trails. Work closely with software engineers and data scientists to embed AI features into the product. Build and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring. Continuously evaluate and improve model performance and user impact. Stay current with the latest advancements in LLMs, NLP, multi-agent frameworks, and applied AI engineering. Set up and tailor AI demos as needed for customers, stakeholders, and internal teams. Contribute to a culture of innovation, collaboration, and continuous learning. Required Experience AI/ML/LLM Experience 7+ years of AI/ML engineering experience. 3+ years of hands-on experience with LLM-based solutions . 1+ year of experience building agentic systems (production-ready, not POCs). Multi-Agent Autonomous Systems Strong understanding of multi-agent architectures , memory systems, tool-use, orchestration, routing, and safety guardrails. Experience building autonomous or semi-autonomous agents with governance, logging, and human-in-loop flows. Technical Skills Strong programming skills in Python (preferred), R, or Java. Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn . Solid understanding of predictive modeling, NLP, ML algorithms, and statistics. Experience working in cloud environments ( AWS/Azure/GCP ) with model deployment and data pipelines. Knowledge of GitHub/GitLab, version control, and CI/CD practices. Basic understanding of web fundamentals (HTTP, JSON, authentication) and REST APIs to integrate AI/LLM solutions into the product. General Skills Strong analytical and problem-solving skills. Ability to communicate complex concepts clearly to non-technical partners. Great collaboration and teamwork abilities. Curiosity and passion for innovation in AI and Finance. What Celonis Can Offer You: Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more . Interns and working students explore your benefits here . Prioritize Your Well-being: Acc ... (truncated, view full listing at source)