Senior Software Engineer - AI & Task Mining

EngineersOfAI; München; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Celonis is seeking a Senior Software Engineer to shape the AI and algorithmic core of Task Mining, turning raw signals into structured, actionable insights. You will design algorithms, ship robust services in Python, and influence multi-tenant data pipelines at enterprise scale.

You will work primarily in Python with SQL in the data pipeline and touch Java where it matters, setting direction, mentoring peers, and ensuring high performance and cost efficiency.

Qualifikationen

• 5+ years of practical experience in Computer Science/Data Science or a PhD in Data Science/AI/ML with 2+ years of practical experience.
• Hands-on experience applying AI/ML to real problems — including LLMs and Retrieval-Augmented Generation (RAG).
• Strong algorithmic foundation and judgment to choose between AI-based and classical approaches.
• Experience designing, building, and deploying robust, scalable Python services and APIs.
• Strong understanding of Python's async I/O model for high-performance applications.
• Solid grasp of ETL, data warehouses/lakes, data modeling, and schema design.
• Experience with Docker and CI/CD (GitHub Actions).
• Strong communication and collaboration skills (English)

Aufgaben

• Design and build AI- and algorithm-powered features from scratch — from research and prototyping through to production rollout.
• Advance our core insight engine by combining LLMs, ML, and rule-based methods to extract structured insights.
• Integrate diverse data sources into the product with clean abstractions.
• Develop and deploy production-ready Python services and APIs in a multi-tenant SaaS platform.
• Build robust data pipelines for ingesting, processing, and transforming large datasets.
• Establish guardrails, monitor hallucination, schema adherence, and performance metrics.
• Own end-to-end delivery from design to shipping to customers.
• Provide technical leadership and mentorship to maintain high engineering standards.

Kenntnisse

AI/ML in prod

LLMs & RAG

Algorithmic foundation

Python services

Python async I/O

ETL & data modeling

Docker & CI/CD

English communication

Ausbildung

PhD in Data Science/AI/ML

Bachelor's in CS

Tools

Docker

GitHub Actions

Jobbeschreibung

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

The Team

Our team builds Celonis\' end-to-end Task Mining solution. Task Mining is the technology that lets businesses capture user interaction data (desktop) so they can analyze how teams actually get work done — and how they can do it even better. We own the full stack behind it: the desktop client, backend services, data-processing pipeline, and Studio frontend applications.

The Role

We\'re looking for a Senior Software Engineer to help shape the AI and algorithmic core of Task Mining. Our mission is broad and growing: turning raw signals about how people work into structured, actionable insight.

You\'ll design the algorithms and AI techniques behind these capabilities and ship them as robust, production-grade services to our customers. This is a role for someone who is energized by AI and algorithms first, and equally comfortable building the scalable services and data pipelines that deliver those capabilities reliably at enterprise scale. You\'ll work primarily in Python, with SQL across our data pipeline, and touch Java on the wider backend where it matters. You\'ll set technical direction, raise the engineering bar, and mentor others along the way.

What you\'ll do

• Design and build AI- and algorithm-powered features from scratch — from research and prototyping through to production rollout — across a growing set of problems.
• Advance our core insight engine: evolve techniques that combine LLMs, machine learning, and rule-based/algorithmic methods to extract structure from complex, noisy interaction data — keeping results accurate, explainable, and cost-efficient.
• Integrate new and diverse data sources into the product, designing the abstractions that let us plug them in cleanly.
• Develop and deploy production-ready Python services — clean async APIs, containerized and integrated into a multi-tenant SaaS platform — to serve our AI and data pipelines.
• Build and extend robust, scalable data pipelines for ingesting, processing, and transforming large datasets, and design the data models behind them.
• Build strong evaluation into everything: guardrails, hallucination and schema-adherence checks, and latency/cost/quality metrics, so we can trust and continuously improve model and algorithm outputs.
• Own end-to-end delivery: lead design, implementation, build, and shipping to customers.
• Provide technical leadership and mentorship — drive design discussions, code reviews, and technical planning to keep standards high and knowledge shared.

The qualifications you need

• 5+ years of practical experience in a Computer Science / Data Science related field, or a PhD in Data Science/AI/ML with 2+ years of practical experience.
• Hands-on experience applying AI/ML to real problems — including LLMs and Retrieval-Augmented Generation (RAG): writing effective prompts, using vector search, and evaluating outputs for hallucination, schema adherence, and performance (latency/cost).
• A strong algorithmic foundation and the judgment to choose between AI-based and classical approaches for a given problem.
• Experience designing, building, and deploying robust, scalable, production-ready Python services and APIs.
• Strong understanding of Python\'s async I/O model and why it matters for high-performance, I/O-bound applications.
• Solid grasp of ETL, data warehouses/lakes, data modeling, and schema design.
• Experience with containerization (Docker) and CI/CD (e.g. GitHub Actions).
• Strong communication and collaboration skills (English is a must).

What Celonis can offer you: