- 7–12 years of software/data engineering experience with robust recent experience in Applied AI/ML.
- Advanced Python and strong production software-engineering practices.
- Strong ML knowledge including classification, regression, anomaly detection and gradient-boosting techniques.
- Experience with explainable AI techniques such as SHAP/feature attribution.
- Hands-on experience with LLMs, structured outputs, tool/function calling and prompt engineering.
- Experience building agentic workflows using LangGraph, Semantic Kernel, LlamaIndex or similar frameworks.
- Strong understanding of RAG, embeddings, vector/hybrid search and retrieval evaluation.
- Strong SQL and data engineering skills; experience with APIs and event/streaming architectures such as Kafka.
- Experience deploying AI/ML workloads on AWS or Azure.
- Understanding of MLOps/LLMOps, model monitoring, evaluation, observability and CI/CD.

Highly Desirable

- Experience within banking, capital markets, payments, financial crime, risk, reconciliation, regulatory reporting or other regulated transactional environments would be highly beneficial

📌 Senior Applied AI / ML Engineer Agentic & Intelligent Automation(Immediate Joiner) (Gurugram)
🏢 Stellaspire
📍 Gurugram