Who are we?

At Finastra, we are a dynamic global provider of open finance software solutions, dedicated to expanding access to financial services. Our innovative applications span Lending, Payments, Treasury and Capital Markets, and Universal Banking. Proudly serving over 8,000 customers, including 45 of the world's top 50 banks, we aim to boost financial inclusion for all. Join us and be part of a vibrant company that embraces diverse perspectives, and is committed to doing well by doing good.

We are seeking a motivated AI Engineer to design, implement, and deploy cutting-edge AI solutions powered by large language models (LLMs). This role focuses on building AI agents, RAG (Retrieval-Augmented Generation) systems, text-to-SQL applications, and other LLM-powered solutions. You'll work with modern AI engineering tools and frameworks, collaborating with cross-functional teams to deliver innovative AI applications that drive real business value.

The ideal candidate is passionate about AI engineering, familiar with prompt engineering and RAG architectures, and eager to learn and grow in a fast-paced environment. You should have foundational experience with Python, LLM frameworks, and cloud platforms, and thrive in an Agile/Scrum development environment.

Key Responsibilities

AI Agent & LLM Application Development

• 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
• Implement function calling and tool use patterns for agentic workflows

AI Pipelines & Deployment

• 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

Collaboration & Best Practices

• 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

Required Qualifications

• Programming: Strong proficiency in Python for AI/ML development
• LLM Fundamentals: Understanding of large language models, their capabilities, and limitations
• AI Engineering Techniques: Knowledge of prompt engineering, context engineering, RAG patterns, and LLM observability
• 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

Preferred Qualifications

• Experience with C# for application integration
• Hands-on experience with Azure OpenAI Service , Azure AI Search , or other Azure AI services
• Experience leveraging Databricks’ data and AI platform
• Familiarity with AWS Bedrock and other cloud AI platforms
• Knowledge of CI/CD pipelines and GitHub Actions for automation
• Experience with LLM evaluation frameworks and performance testing
• Understanding of semantic search , embeddings , and similarity search techniques
• Exposure to agentic frameworks and multi-agent systems
• Background in building chatbots , conversational AI , or virtual assistants

What We're Looking For

We want someone who is:

• Curious and excited about the rapidly evolving AI landscape
• Eager to experiment with new LLM techniques and frameworks
• Comfortable working with ambiguity and iterating on solutions
• A strong communicator who can explain technical concepts to non-technical stakeholders
• Committed to writing clean, maintainable, and well-documented code

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold:

· 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.

At Finastra, each individual is unique, bringing their own ideas, thoughts, cultural beliefs, backgrounds, and experiences together. We learn from one another, embrace and celebrate our differences, and create an environment where everyone feels safe to be themselves.

Be unique, be exceptional, and help us make a difference at Finastra!

Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.