AI Engineer – AI Lab

About the Role: As an AI Engineer you will play a key role in developing and experimenting with AI and GenAI solutions to solve business problems. This role is deeply technical but also exploratory in nature. You will be responsible for testing feasibility building prototypes running experiments and co-creating solutions with both internal teams and external partners. Your work will directly contribute to evaluating new use cases scaling successful pilots and embedding AI into our business workflows. All solutioning prototyping testing and development will be anchored by you making this a highly engaging and interesting role at the heart of real-world AI delivery. Key Responsibilities: Build test and iterate on AI and GenAI solutions using industry-standard tools and platforms. Anchor technical components of AI use cases from experimentation to solution deployment. Collaborate with managers internal tech teams and external partners to co-develop POCs and scalable solutions. Conduct feasibility assessments and support decision-making through rapid experimentation. Translate abstract business problems into model-ready formats including data preparation and feature engineering. Work on GenAI components such as prompt design LLM integration and retrieval-augmented generation (RAG). Maintain clean well-documented code and version control practices. Integrate solutions with APIs and backend systems as needed in partnership with engineering teams. Support model evaluation optimization and iterative improvement cycles. Contribute to the AI Labs internal knowledge-sharing and tooling base. Who are we looking for Education: Bachelor s or Master s in Computer Science Engineering or a related technical field. Experience: 4 6 years of hands-on experience in AI/ML GenAI or applied data science roles. Experience building or experimenting with AI solutions in practical business settings. Exposure to collaborative delivery with tech teams or solution partners. Skills: Strong proficiency in Python and libraries like Pandas NumPy scikit-learn PyTorch TensorFlow. Experience with GenAI APIs (OpenAI PaLM Hugging Face) and vector databases (e.g. Pinecone FAISS). Working knowledge of prompt engineering LLMs RAG and LangChain-style pipelines. Comfortable with code versioning (Git) API-based integration and cloud environments (GCP AWS Azure). Ability to think critically test hypotheses and learn rapidly through experimentation. Good collaboration skills and attention to clean modular code.