AI Software Engineer Job at Commencis

AI Software Engineer

Commencis

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Category:
IT - Software Development

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Not provided

Salary:

Not provided

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Job Description:

At Commencis, we are seeking an AI Software Engineer to join our team. As part of our AI Lab ecosystem, you will design and build production-grade LLM applications and agentic systems, working on real-world enterprise problems. You will take part in the full lifecycle of AI systems, from data and model development to deployment, evaluation, and optimization. If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!

Job Responsibility:

Collaborate with product and software teams to integrate AI solutions and forward-deploy production-grade systems into enterprise applications
Drive proof-of-concept initiatives and publish insights on emerging techniques
Orchestrate LLM-based agentic systems
Contribute in full-cycle AI development, from data pipelines and model training to deployment and monitoring
Design, build, and optimize production-grade machine learning models
Implement robust MLOps practices using Kubernetes, MLflow, and cloud services (AWS, Azure, GCP)
Advocate for ethical AI principles, ensuring fairness, transparency, and security

Requirements:

BSc/MSc/PhD in Computer Science or related field
Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and transformer-based architectures
Proven experience in fine-tuning generative models (e.g. open-source LLMs, diffusion models)
Experience deploying AI solutions using containerization (Docker, Kubernetes) and CI/CD pipelines
Proficiency in at least one agentic orchestration framework for building LLM-based systems
Comfortable working in AI-first development environments, leveraging agentic tools (e.g., Claude Code, Codex) to plan, build, and iterate faster

Nice to have:

Contributions to open-source AI projects
Expertise in LLM evaluation, and performance-cost optimization
Experience with advanced AI domains (graph neural networks, reinforcement learning)
Active engagement in AI communities (Kaggle, Huggingface)
Experience with agentic orchestration frameworks such as LangGraph, Google ADK, or similar tools

What we offer:

Competitive compensation
private health insurance
pension and retirement plans through a company-backed pension system
meal card
commute compensation
work-from home support
paid birthday off
flexible working hours including remote working option
online events
guest speakers
refreshments in the office
meeting-light culture
learning and development programs
access to leading online e-learning platforms like Udemy and various libraries
social activities including happy hours, workshops, new year party, breakfast & lunch get-togethers, movie nights, and Summer Festival
flat organizational structure
culture of direct and open communication

Additional Information:

Job Posted:
May 10, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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