AI Engineer

Role Overview

We are seeking AI Engineers to support the organization's AI adoption journey, with a focus on machine learning, NLP, GenAI, LLMs, and agentic AI systems. These roles are hands-on and engineering-focused, centered on building, integrating, and operationalizing AI capabilities across internal platforms and client-facing products.

Responsibilities

• Design, develop, and maintain data science and AI-driven applications that support multiple business lines.
• Implement machine learning, NLP, and GenAI solutions that move from experimentation to production.
• Build and integrate LLM-powered capabilities such as Retrieval-Augmented Generation (RAG), summarization, classification, extraction, and reasoning.
• Develop and enhance solutions using LLMs, LangChain, LangGraph, and agentic AI frameworks.
• Apply best practices in prompt engineering, orchestration, evaluation, and monitoring.
• Support teams across Data, Technology, and Engineering to integrate AI services with APIs.
• Ensure AI solutions meet enterprise standards for scalability, performance, and reliability using CI/CD and DevOps processes.
• Ensure compliance with data governance, security, and responsible AI standards.

Requirements

• 3–8 years of relevant experience in data science, AI engineering, or applied machine learning roles.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
• Strong hands-on experience in Python.
• Solid foundation in machine learning, NLP, and statistical modeling.
• Hands-on experience or projects involving LLMs, LangChain, LangGraph, RAG, or agentic AI systems.
• Experience delivering AI/ML solutions into production environments.
• Knowledge of software engineering best practices including TDD, refactoring, and modular design.

Nice to Have

• Experience with cloud platforms, particularly Azure or Google Cloud Platform (GCP).
• Familiarity with DevOps tools and CI/CD pipelines.
• Understanding of data governance, responsible AI, or model risk management concepts.
• Prior experience in financial services or other regulated environments.

Skills

• Python
• LangChain
• LLMs
• NLP
• RAG