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AI Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Finastra
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 Lang Chain, Lang Graph, 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 Git Hub for version control and collaborate through pull requests and code reviews
  • Build and maintain Git Hub 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:
    Lang Chain, Lang Graph, CrewAI, or similar
  • Familiarity with vector stores (Pinecone, Weaviate, Chroma

    DB, FAISS, etc.) for embeddings and retrieval
  • Understanding of Git workflows, version control with Git Hub, 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 Git Hub 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…
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