Finastra
About Us
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.
Job Summary 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.
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
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
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
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
Unlimited vacation based on location and business priorities; hybrid working arrangements; inclusive policies such as paid time off for voting, bereavement, and sick leave
Access to confidential one‑on‑one therapy; unlimited personalized coaching via our coaching app; access to Gather Groups for emotional and mental support
Medical, life & disability insurance, retirement plan, lifestyle and other benefits*
ESG: Paid time off for volunteering and donation matching
DEI: Participation in multiple DE&I groups (Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra)
Career development: Online learning and accredited courses through our Skills & Career Navigator tool
Recognition: Global recognition program, Finastra Celebrates; employee surveys to shape culture and empowerment
Specific benefits may vary by location
Applicants for this position must be located in the posted location or their immediate surrounding areas. This job posting is not available for, and Finastra will not be considering, any applicants who currently reside in New York City or California.
Seniority level: Entry level Employment type: Full‑time Job function: Engineering and Information Technology
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Job Summary 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.
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
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
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
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
Unlimited vacation based on location and business priorities; hybrid working arrangements; inclusive policies such as paid time off for voting, bereavement, and sick leave
Access to confidential one‑on‑one therapy; unlimited personalized coaching via our coaching app; access to Gather Groups for emotional and mental support
Medical, life & disability insurance, retirement plan, lifestyle and other benefits*
ESG: Paid time off for volunteering and donation matching
DEI: Participation in multiple DE&I groups (Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra)
Career development: Online learning and accredited courses through our Skills & Career Navigator tool
Recognition: Global recognition program, Finastra Celebrates; employee surveys to shape culture and empowerment
Specific benefits may vary by location
Applicants for this position must be located in the posted location or their immediate surrounding areas. This job posting is not available for, and Finastra will not be considering, any applicants who currently reside in New York City or California.
Seniority level: Entry level Employment type: Full‑time Job function: Engineering and Information Technology
#J-18808-Ljbffr