Senior Full-Stack AI Engineer – Financial Services

Our client is a leading player in the financial services industry, focused on innovation and digital transformation in banking technology.

• At least 5 years of experience in software engineering with full-stack delivery.
• Strong expertise in Python, Java, or Node.js, with API development (REST/GraphQL) and microservices architecture.
• Frontend skills with React or TypeScript, including component design and state management.
• Practical experience with LLMs, embeddings, RAG patterns, and evaluation techniques.
• Solid knowledge of SQL, document stores/search engines like Elasticsearch or OpenSearch, and vector databases.
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
• DevOps expertise including CI/CD pipelines, infrastructure-as-code (Terraform), and monitoring tools (e.g., OpenTelemetry).
• Strong understanding of secure coding principles and OWASP standards.

Nice to have:

• Experience with agentic workflows, orchestration frameworks, and tool integrations.
• Knowledge of model governance, explainability, and responsible AI practices.
• Experience developing internal developer platforms or reusable AI components.
• Domain experience within regulated environments like financial services.

• Design, develop, and maintain end-to-end full-stack AI applications, including web UI, backend services, and ML components.
• Develop and operate large language model-enabled services such as prompting, retrieval-augmented generation, tool invocation, and evaluations.
• Build APIs and microservices to integrate models with enterprise systems and data sources.
• Implement data pipelines for ingestion, transformation, indexing, and retrieval, including vector stores.
• Create front-end experiences for AI features like chatbots, copilots, workflows, and dashboards.
• Establish MLOps/LLMOps practices including CI/CD, model/version management, monitoring, and drift detection.
• Define and execute testing strategies: unit, integration, offline evaluations, security red-teaming, and performance testing.
• Optimize AI applications for latency, cost-efficiency, and reliability through caching, batching, and observability.
• Ensure security, privacy, and compliance by design, including access controls and auditability.
• Collaborate with cross-functional teams to deliver measurable outcomes aligned with business goals.

Only candidates with an existing legal right to work in the European Union will be considered for this role.