Our client is a leading global financial services organization undergoing large-scale digital transformation. They are looking for an AI Engineer to design, develop, and deploy enterprise-grade AI and Generative AI solutions that enhance business operations, improve customer experiences, and drive innovation across the organization.

Responsibilities

Design, develop, and deploy AI/ML and Generative AI applications for enterprise use cases.
Build and maintain scalable AI pipelines, APIs, and production-ready machine learning solutions.
Develop Retrieval-Augmented Generation (RAG), AI agents, and LLM-powered applications.
Fine-tune, evaluate, and optimize large language models (LLMs) for performance, security, and cost efficiency.
Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into AI solutions.
Integrate AI solutions with cloud platforms, enterprise systems, and data platforms.
Implement AI governance, model monitoring, security, and responsible AI best practices.

Requirements

8+ years of software engineering experience, with at least 3 years focused on AI/ML engineering.
Strong experience with Python and machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Hands-on experience with Large Language Models (LLMs), prompt engineering, RAG, vector databases, and AI orchestration frameworks (e.g., LangChain or LlamaIndex).
Experience deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud.
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
Familiarity with MLOps, CI/CD pipelines, containerization (Docker/Kubernetes), and model deployment.
Experience working with SQL, NoSQL, APIs, and modern data engineering practices.
Strong understanding of AI security, governance, and responsible AI principles.

AI Engineer (LLM/Prompt Engineer)