About the role We're looking for an AI Engineer who sits comfortably at the intersection of data science, machine learning, and Generative AI.
You'll work on real-world AI solutions, from classical ML models to LLM-powered applications, and take them all the way from idea to production. This is not a research-only role, and not a pure software role either: it's about applied AI that delivers business impact.
You'll collaborate closely with data, engineering, and business stakeholders, and help shape how AI is used responsibly and effectively.
What you'll do
Design, build, and evaluate machine learning models (classification, regression, forecasting, NLP, etc.)
Develop Generative AI solutions (LLMs, RAG pipelines, prompt engineering, agents)
Translate business problems into AI use cases with measurable impact
Prepare, explore, and model data using strong data science foundations
Build production-ready AI systems (APIs, pipelines, monitoring, retraining)
Work with cloud and MLOps tooling to deploy and maintain models
Communicate clearly with both technical and non-technical stakeholders
Stay up to date with evolving AI and GenAI best practices
️ What you bring
Strong foundation in data science & machine learning
Hands-on experience with Python and ML libraries (e.g. scikit-learn, PyTorch, TensorFlow)
Experience with or strong interest in Generative AI / LLMs (e.g. RAG, embeddings, prompt engineering)
Solid software engineering mindset (clean code, version control, testing)
Familiarity with cloud platforms (Azure, AWS, or GCP) and deployment patterns
Comfort working across the full AI lifecycle: data → model → production
Curious, pragmatic, and impact-driven mindset
Nice to have
Experience with MLOps (CI/CD, MLflow, feature stores, monitoring)
Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex)
Experience in regulated or enterprise environments
Consulting or client-facing experience
Why join us
Work on real AI solutions, not demos or slideware
High ownership and autonomy
Exposure to both classical ML and cutting-edge GenAI
Strong focus on quality, responsibility, and long-term impact
Opportunity to grow into technical lead or solution architect roles