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

Benefits

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.
Specific benefits may vary by location.

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.

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