AI Software Engineer

Summary

Join Commencis as an AI Software Engineer and lead the development of cutting-edge generative AI and large language model solutions. You will spearhead the full AI development lifecycle, from data pipelines and model training to deployment and monitoring. Collaborate with product and software teams to integrate AI into enterprise solutions and champion ethical AI principles. This role requires proficiency in Python, ML frameworks, and transformer-based architectures, along with experience in fine-tuning and deploying generative models. Commencis offers competitive compensation and benefits, flexible working hours, remote work options, and ongoing learning and development opportunities.

Requirements

• BSc/MSc/PhD in Computer Science or related field
• Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and transformer-based architectures (Hugging Face, spaCy)
• Proven experience fine-tuning and deploying generative models (GPT, Llama, diffusion models)
• Familiarity with containerization (Docker), orchestration (Airflow/Kubeflow), and cloud platforms
• Experience in distributed computing (Spark, Dask) and optimizing models for performance

Responsibilities

• Design, build, and optimize production-grade LLMs and multimodal AI solutions (e.g., text, vision, speech)
• Lead full-cycle AI development, from data pipelines and model training to deployment and monitoring
• Collaborate with product and software teams to integrate generative AI into enterprise solutions
• Spearhead proof-of-concept initiatives and publish insights on emerging techniques
• Implement robust MLOps practices using Kubernetes, MLflow, and cloud services (AWS, Azure, GCP)
• Advocate for ethical AI principles, ensuring fairness, transparency, and security

Preferred Qualifications

• Contributions to open-source AI projects or publications in top-tier conferences
• Expertise in prompt engineering, LLM evaluation, and performance-cost optimization
• Experience with advanced AI domains (graph neural networks, reinforcement learning)
• Active engagement in AI communities (Kaggle, GitHub, arXiv)

Benefits

• Competitive salary
• 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
• Remote working option
• Learning and development programs
• Access to leading online e-learning platforms like Udemy and various libraries