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.
