RAG-as-a-Service Pod Lead

Finastra•Atlanta, GA

22h•Hybrid

About The Position

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 Pod Lead to design, implement, and deploy cutting-edge AI solutions powered by large language models (LLMs) for Flow, Finastra’s Agentic AI platform. This role focuses on building RAG (Retrieval-Augmented Generation) systems. 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.

Requirements

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

Responsibilities

Build production-grade RAG (Retrieval-Augmented Generation) systems using that leverage vector databases and semantic search
Set architecture guidelines and best practices for state-of-the-art RAG system implementation
Expose RAG capabilities as manageable services
Integrate RAG systems into LLM-powered applications
Apply prompt engineering and context engineering techniques to optimize LLM performance
Implement function calling and tool use patterns for agentic workflows

Benefits

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, find support from our network of Wellbeing Champions and Gather Groups, and a calendar of monthly events and initiatives designed to help you thrive - Inside and Outside of work.
Medical, life & disability insurance, retirement plan, lifestyle and other benefits
Sustainability: 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.
paid holidays
flexible working hours
a pension plan
comprehensive health initiatives