Our Client is revolutionizing the financial services landscape through intelligent automation and next-generation AI. As a fast-growing fintech innovator, we build scalable, secure, and adaptive solutions that empower and streamline the banking industry. Join our dynamic team and help shape the future of finance with state-of-the-art AI technology.
As an AI Engineer, you will play a pivotal role in developing advanced AI models and intelligent agents that automate, optimize, and secure financial workflows. Your expertise in prompt engineering will drive the effectiveness of AI-powered interactions, ensuring our solutions deliver real-time, context-aware insights for our clients and users. You’ll work alongside fintech visionaries and technical experts to deliver AI-driven products that set new industry standards
Responsibilities
- Build and maintain AI agents that autonomously manage and optimize complex workflows, such as document management, state management, processing, automated compliance & risk monitoring, and client onboarding.
- Apply advanced prompt engineering techniques to fine-tune AI agent responses for financial contexts, ensuring accuracy, compliance, and clarity.
- Collaborate with product managers, data scientists, and engineers to translate fintech requirements into robust AI-driven solutions.
- Develop scalable, secure AI pipelines and infrastructure for model training, deployment, and monitoring in a regulated environment.
- Continuously monitor and iterate on AI agent performance and prompt strategies to maximize business impact and user satisfaction.
- Ensure all AI solutions meet financial industry standards for security, privacy, and ethical compliance.
- Conduct experiments, analyze model results, and iterate quickly based on feedback.
- Stay ahead of fintech and AI trends, integrating the latest advancements into our product suite.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field (Master’s or PhD degree preferred).
- +4 years of hands-on experience with machine learning frameworks building and deploying AI models using frameworks such as PyTorch, TensorFlow, Java’s Spring AI or LangChain4j or equivalent.
- Expertise in designing, deploying and running AI agents that automate and optimize business workflows.
- Advanced skills in prompt engineering for large language models (LLMs) and conversational AI, especially in regulated industries.
- Experience with AI technologies such as Retrieval-Augmented Generation (RAG) for enhancing model accuracy with external knowledge, and the Model Context Protocol (MCP) for integrating AI systems with diverse tools and data sources.
- Nice to have Python and experience with AI/ML libraries and tools.
- Familiarity with cloud platforms (Azure preferred, AWS/GCP a plus) and container orchestration technologies (Docker, Kubernetes).
- Strong understanding of machine learning algorithms, NLP, reinforcement learning, and AI ethics.
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile startup environment.
- Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.