AI Engineer

Ready to take your career global? Make your mark at one of the biggest names in payments. We are seeking a highly skilled and forward‑thinking AI Engineer to join our AI Engineering team. This role is ideal for a hands‑on technologist with deep expertise in machine learning (ML) and deep learning (DL), and a strong working knowledge of Generative AI technologies.

You will design, build, and optimize intelligent systems that power automation, personalization, and decision‑making across our Fin Tech platforms. This is a unique opportunity to work at the intersection of cutting‑edge AI research and real‑world enterprise applications.

Ready to take your career global? Make your mark at one of the biggest names in payments. We are seeking a highly skilled and forward‑thinking AI Engineer to join our AI Engineering team. This role is ideal for a hands‑on technologist with deep expertise in machine learning (ML) and deep learning (DL), and a strong working knowledge of Generative AI technologies.

You will design, build, and optimize intelligent systems that power automation, personalization, and decision‑making across our Fin Tech platforms. This is a unique opportunity to work at the intersection of cutting‑edge AI research and real‑world enterprise applications.

• Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems and deliver measurable value.
• Build and maintain scalable ML pipelines and agentic workflows using modern frameworks and cloud‑native tools.
• Collaborate with data scientists, product managers, and engineers to translate business requirements into AI‑powered solutions.
• Implement and optimize AI solutions using platforms such as GCP Vertex AI, AWS Bedrock/Sage Maker, and Snowflake Cortex.
• Apply techniques such as prompt engineering, RAG (Retrieval‑Augmented Generation), fine‑tuning, and RLHF to enhance model performance.
• Develop and deploy autonomous AI agents using frameworks like Lang Chain, Lang Graph, and Agent Space.
• Integrate vector databases (e.g., PGVector) and LLM orchestration tools to support retrieval and memory in generative systems.
• Ensure robust MLOps practices including CI/CD, monitoring, versioning, and lifecycle management of models.
• Stay current with AI research and industry trends, and evaluate emerging tools and techniques for enterprise adoption.
• Contribute to internal knowledge sharing, documentation, and best practices for responsible and ethical AI development.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in AI/ML engineering, with a strong foundation in ML/DL algorithms and systems.
• Proficiency in Python and ML libraries such as Tensor Flow, PyTorch, and Transformers.
• Hands‑on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.
• Experience with NLP, conversational AI, and LLM‑based applications.
• Familiarity with vector search and semantic retrieval technologies.
• Strong understanding of MLOps, including model deployment, monitoring, and retraining.
• Experience building production‑grade AI systems at scale in cloud environments.
• Hands‑on experience with development on Google Cloud Platform.
• Excellent problem‑solving, communication, and collaboration skills.

• Experience with prompt engineering, RLHF, and LLM evaluation techniques.
• Understanding of AI governance, safety, and responsible AI principles.
• Familiarity with reinforcement learning, multi‑agent systems, and autonomous workflows.
• Experience with big data technologies (e.g., Apache Spark, Kafka) and real‑time data processing.
• Experience with data engineering techniques and data warehousing platforms (e.g. Big Query, Snowflake).
• Contributions to open‑source AI projects or publications in the AI/ML field.
  
  Familiarity with CI/CD pipelines, infrastructure‑as‑code, and cloud‑native AI tooling.
• Ability to work proactively with a high level of initiative and accuracy.
• Ability to manage multiple assignments effectively and meet established deadlines.
• Strong interpersonal skills to interact professionally with staff and stakeholders.
• Excellent…