Gen Ai Applications Development Technology Lead Analyst

• Lead the design and implementation of generative AI use cases, from ideation to production
• Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc.
• Create robust prompt engineering strategies and reusable prompt templates
• Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools
• Collaborate with Tech and business teams to identify opportunities and build solutions
• Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation
• Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation
• Mentor junior team members and promote a culture of experimentation and learning

• 7+ years’ experience in AI ML Engineering with working knowledge of Python (Must)
• Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms
• Strong programming skills in Python, and familiarity with libraries like Transformers, LangChain, LlamaIndex, PyTorch, or TensorFlow
• Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases
• Understanding of MLOps / LLM Ops, model evaluation, prompt tuning, and deployment pipelines
• Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs
• Familiarity with regulatory requirements and guidelines related to risk model validation
• Strong communication skills and the ability to partner with both technical and non-technical stakeholders
• Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred

• Business casual workplace
• Hybrid working model (up to 2 days working at home per week)
• Competitive base salary (annually reviewed)
• Additional benefits that support you (and your family) to be well, live well and save well