Senior AI Engineer

Who are we?

At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.

What will you contribute? We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI solutions powered by large language models (LLMs). Responsibilities & Deliverables • Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc) • Create end-to-end production grade AI agents and integrate them into applications • Apply prompt engineering and context engineering techniques to optimize LLM performance • Implement function calling and tool use patterns for agentic workflows • Build and maintain AI workflows and pipelines using LangChain/LangGraph or equivalent • Deploy and manage LLM solutions on Azure OpenAI, AWS Bedrock, or similar cloud platforms • Implement observability and monitoring for AI systems to track performance, costs, and reliability • Automate model deployment and orchestration using CI/CD pipelines • Evaluate, benchmark, and document models Required Skills & Experience • Programming: Strong proficiency in Python for AI/ML development • LLM Fundamentals: Understanding of large language models, their inner workings, capabilities, and limitations • AI Engineering Techniques: Knowledge of prompt engineering, context engineering, AI agent patterns (RAG, text-to-sql, etx) • AI Frameworks: Hands-on experience with at least one framework: LangChain, LangGraph, CrewAI, or similar • Vector Databases: Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrieval • Software Development: Understanding of Git workflows, version control with GitHub, and software development best practices • Collaboration: Experience working in Agile/Scrum teams with sprint-based development • Strong problem-solving skills and ability to learn new technologies quickly • Exposure to AI-assisted development tooling (e.g. GitHub CoPilot, Claude Code, Cursor, or equivalent)