Senior AI Engineer - LLM & Machine Learning

We are looking for an experienced Senior AI Engineer to design, develop, and implement enterprise AI and Machine Learning solutions, with a strong focus on Large Language Models (LLMs) and Generative AI.
In this role, you will work across the full AI lifecycle, from data pipelines and model development to deployment, monitoring, and integration, collaborating with Product Owners, domain experts, and technical teams to translate business requirements into scalable AI solutions.
Key Responsibilities
Develop, integrate, and maintain AI and Machine Learning models within business applications
Design and optimize data pipelines for model training, evaluation, and deployment
Build LLM-based and Generative AI solutions, including RAG, prompt engineering, and fine-tuning
Translate business requirements into practical AI solutions in collaboration with Product Owners and domain experts
Deploy and operate models using MLOps practices, including CI/CD, monitoring, and versioning
Evaluate model performance, fairness, reliability, and overall quality
Integrate cloud-based AI services across Azure, AWS, and/or GCP
Develop and integrate APIs and microservices supporting AI capabilities
Ensure compliance with data governance, security, and ethical AI requirements
Document AI workflows, architectures, and operational procedures
Support cross-functional teams in adopting and integrating AI capabilities
Requirements
Minimum 4 years of experience designing and implementing AI solutions, including LLM-based solutions
University degree with at least 6 years of IT experience, or non-university degree with at least 12 years of IT experience
Strong programming experience with technologies such as Python, SQL, and/or Java
Strong understanding of Machine Learning fundamentals and the model lifecycle
Experience designing and maintaining data pipelines
Experience with LLMs and Generative AI, including practical implementation of LLM-based solutions
Knowledge of APIs and microservices
Experience with Docker and Kubernetes
Understanding of production AI/ML deployment, monitoring, and lifecycle management
Strong understanding of data governance, security, and responsible AI principles
At least one mandatory professional certification:
Microsoft Certified: Azure AI Engineer
AWS Certified Machine Learning
Google Professional Machine Learning Engineer
Or an equivalent recognized certification
Nice to Have
Hands-on experience with TensorFlow and/or PyTorch
Broader experience with Generative AI and LLM technologies
Experience with Azure AI or other cloud/open-source AI platforms
Experience implementing RAG architectures and advanced prompt-engineering techniques
MLOps and AI model monitoring experience
You will be a great candidate for us if you
Have strong hands-on expertise in AI, Machine Learning, and LLM-based solutions
Can take AI solutions from concept through production deployment
Understand both AI engineering and enterprise software integration
Are comfortable working across data, models, APIs, cloud infrastructure, and MLOps
Can translate business challenges into practical and scalable AI solutions
Have a strong focus on security, reliability, responsible AI, and maintainability
Benefits
Why join inventYOU
Work on advanced AI, Machine Learning, and Generative AI initiatives
Build production-ready LLM and enterprise AI solutions
Work with modern cloud, MLOps, and AI technologies
Collaborate with experienced technology and domain professionals
Continue developing your expertise in one of the fastest-growing areas of technology

Work arrangement
No