AI Engineer

About the roleWe'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 doDesign, 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 impactPrepare, explore, and model data using strong data science foundationsBuild production-ready AI systems (APIs, pipelines, monitoring, retraining)Work with cloud and MLOps tooling to deploy and maintain modelsCommunicate clearly with both technical and non-technical stakeholdersStay up to date with evolving AI and GenAI best practices️ What you bringStrong foundation in data science & machine learningHands-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 patternsComfort working across the full AI lifecycle: data → model → productionCurious, pragmatic, and impact-driven mindsetNice to haveExperience with MLOps (CI/CD, MLflow, feature stores, monitoring)Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex)Experience in regulated or enterprise environmentsConsulting or client-facing experienceWhy join usWork on real AI solutions, not demos or slidewareHigh ownership and autonomyExposure to both classical ML and cutting-edge GenAIStrong focus on quality, responsibility, and long-term impactOpportunity to grow into technical lead or solution architect roles