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Bank of America

Software Engineer III – AI/ML/GenAI

Bank of America

. Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements .

Posted 5/15/2026full-timeAddison • New Jersey, North Carolina, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AngularAnsibleJavaJenkinsMongoDBPythonReactRedisScala

About the role

Key responsibilities & impact
  • Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
  • Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
  • Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
  • Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
  • Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
  • Automates manual release activities
  • Designs, develops, and maintains automated test suites (integration, regression, performance)

Requirements

What you’ll need
  • 5+ years of software development experience on large, complex systems required
  • Experience in OOP in Python/Scala/Java programming experience with expert level development skills
  • Hands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarization.
  • Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway
  • Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI work.
  • Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem.
  • Hands on experience building frameworks using MLOps, Fine – Tuning techniques, Inference Frameworks Building API based application leveraging FAST API services, JWT Integration, API Gateway
  • Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
  • Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
OOPPythonScalaJavaGenerative AIMLOpsAPI DevelopmentAutomation FrameworksData ScienceContinuous Integration
Soft Skills
MentoringCoachingCollaborationRisk MitigationStory Refinement