AI Engineer building and scaling internal AI solutions and workflows for LUXASIA. Collaborating with cross - functional teams to leverage AI in business decision making.
About the role
- AI Engineer leading the design, development, and deployment of AI solutions for Citi's Banking Technology. Collaborating across teams to drive business value in banking AI initiatives.
Responsibilities
- Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions
- Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
- Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments
- Design and implement rigorous metrics and evaluation strategies for AI system and agent performance
- Proactively explore, prototype, and integrate the latest advancements in AI
- Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams
Requirements
- 10+ years of progressive software engineering experience with a strong emphasis on hands-on coding
- Minimum 3+ years of dedicated professional experience in software development focused on AI, prompt engineering, machine learning, Generative and/or agentic AI systems
- Expert-level proficiency in Python or Java
- Proficiency in UI for full-stack development
- Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
- Solid understanding of core AI concepts
- Hands-on experience with relevant frameworks
- Extensive experience with machine learning frameworks and relevant libraries
- Proven experience in creating, deploying, and integrating MCPs into agentic AI systems
- Deep familiarity with large language models (LLMs)
- Demonstrated experience in designing and implementing robust APIs for AI services
- Proficient in software development best practices
- Strong understanding of agile methodologies and application resiliency
- Deep experience with application and data architecture patterns
- Experience leveraging managed services with a strong emphasis on API-First Design, microservices, and event-driven architectures
- Hands-on experience with Docker and Kubernetes
- Excellent analytical and innovative problem-solving skills
- Previous experience within the banking or financial services industry is a plus
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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