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  3. Applied AI Engineer
Celonis logo

Applied AI Engineer

Celonis
Bangalore, India
Full Time
Posted April 2, 2026
Not Specified
Apply Now

Application opens on company website

Job Description

A role focused on developing and deploying advanced AI solutions, including predictive models and autonomous agents, within the Finance domain of a SaaS company, requiring end-to-end engineering expertise and collaboration with cross-functional teams.

Key Responsibilities

  • Partner with product owners and finance experts to identify AI use cases in Accounts Receivable
  • Design and develop predictive models, generative AI features, and multi-agent systems for business problems
  • Build LLM-based copilots and autonomous agents with human-in-loop flows, security guardrails, and audit trails
  • Collaborate with software engineers and data scientists to integrate AI features into the product
  • Develop and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring of AI models
  • Evaluate and improve model performance and user impact continuously

Requirements

  • 7 years of AI ML engineering experience.
  • 3 years of hands-on experience with LLM-based solutions.
  • 1 year of experience building agentic systems that are production-ready, not POCs.
  • 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.
  • 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 such as AWS, Azure, or GCP with model deployment and data pipelines.
  • Knowledge of GitHub, GitLab, version control, and CI/CD practices.
  • Basic understanding of web fundamentals including HTTP, JSON, authentication, and REST APIs to integrate AI LLM solutions into the product.
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex concepts clearly to non-technical partners.
  • Great collaboration and teamwork abilities.

Benefits & Perks

generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
access to resources such as gym subsidies, counseling, and well-being programs
benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities
connect and belong through inclusion and belonging programs
opportunity to work with a leading process mining technology
international team collaboration
empowered environment with open culture and autonomous teams

Ready to Apply?

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