Senior AI Engineer - LLM & Machine Learning

We are looking for an experiencedSenior AI Engineer to design, develop, and implement enterprise AI and Machine Learning solutions, with a strong focus onLarge 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 maintainAI and Machine Learning models within business applications
• Design and optimize data pipelines for model training, evaluation, and deployment
• BuildLLM-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 usingMLOps practices, including CI/CD, monitoring, and versioning
• Evaluate model performance, fairness, reliability, and overall quality
• Integrate cloud-based AI services acrossAzure, 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

• Minimum 4 years of experience designing and implementing AI solutions, including LLM-based solutions
• University degree with at least6 years of IT experience, or non-university degree with at least12 years of IT experience
• Strong programming experience with technologies such asPython, SQL, and/or Java
• Strong understanding ofMachine Learning fundamentals and the model lifecycle
• Experience designing and maintaining data pipelines
• Experience withLLMs and Generative AI, including practical implementation of LLM-based solutions
• Knowledge of APIs and microservices
• Experience withDocker and Kubernetes
• Understanding of production AI/ML deployment, monitoring, and lifecycle management
• Strong understanding of data governance, security, and responsible AI principles
• At leastone 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 withTensorFlow and/or PyTorch
• Broader experience with Generative AI and LLM technologies
• Experience withAzure 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

Why join inventYOU

• Work on advancedAI, 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