About the role

AI Engineer designing, implementing, and deploying AI solutions powered by large language models at Finastra. Collaborating with cross-functional teams to deliver innovative AI applications that drive real business value.

Responsibilities

Design and develop AI agents for task automation, decision-making, and workflow orchestration
Build RAG (Retrieval-Augmented Generation) systems using vector databases and semantic search
Implement text-to-SQL solutions to enable natural language database querying
Develop LLM-powered applications for summarization, content generation, data extraction, and conversational AI
Apply prompt engineering and context engineering techniques to optimize LLM performance
Build and maintain AI workflows and pipelines using LangChain, LangGraph, or CrewAI
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
Participate in daily stand-ups, sprint planning, and retrospectives in an Agile/Scrum environment
Use GitHub for version control and collaborate through pull requests and code reviews
Build and maintain GitHub Actions workflows for automated testing and deployment
Work closely with stakeholders to translate business requirements into AI solutions
Document AI architectures, prompt strategies, and system designs for team knowledge sharing

Strong proficiency in Python for AI/ML development
Understanding of large language models, their capabilities, and limitations
Knowledge of prompt engineering, context engineering, RAG patterns, and LLM observability
Hands-on experience with at least one framework: LangChain, LangGraph, CrewAI, or similar
Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrieval
Understanding of Git workflows, version control with GitHub, and software development best practices
Experience working in Agile/Scrum teams with sprint-based development
Strong problem-solving skills and ability to learn new technologies quickly.

Flexibility: Enjoy unlimited vacation, based on your location and business priorities.
Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave.
Well-being: Access confidential one-on-one therapy through our Employee Assistance Program, unlimited personalized coaching via our coaching app, and access to our Gather Groups for emotional and mental support.
Medical, life & disability insurance, retirement plan, lifestyle and other benefits*
ESG: Benefit from paid time off for volunteering and donation matching.
DEI: Participate in multiple DE&I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra).
Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.
Recognition : Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best.