AI Software Engineer

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. 

• 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 

• 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. 

• 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