Software Engineer III - AI/ML

Bank of America•Charlotte, NC

1d•Onsite

About The Position

The AI Software Engineer supports the development of full-stack Machine Learning (ML) and Generative AI (Gen AI) applications tailored to optimize legal and business workflows. Utilizing AI techniques, the Engineer directly supports end-to-end development of innovative solutions, contributing to rapid prototyping initiatives when needed. In collaboration with Machine Learning (ML) Engineers, the AI Software Engineer helps develop prototypes to evaluate technology readiness and suitability for specific applications, ultimately scaling the most promising prototypes to production-ready applications.

Requirements

A minimum of seven (7) years’ Python experience required
A minimum of five (5) years’ experience with full stack development preferred
A minimum of three (3) years’ industry experience in full stack AI application development
Proficiency with Python including experience with libraries and frameworks relevant to ML/GenAI application development (e.g., LangChain)
Proficiency with API development frameworks (e.g., Django, Flask, FastAPI) and knowledge of web standards relating to API development (e.g., CORS, OpenAPI)
Experience with modern web development frameworks and languages, including React, Typescript, and Node.js with experience building and maintaining front-end and backend applications
Experience with alternative web frameworks such as Vue.js and a strong understanding of component-based architecture, state management and responsive design principles
Familiarity working with production-grade vector databases (e.g., Redis ,pgvector, Chroma, or Milvus) for efficient storage and retrieval of embeddings
Familiarity with relational (e.g., Oracle, PostgreSQL) and/or NoSQL databases (e.g., Mongo)
Solid understanding of modern software development practices including CI/CD/CT, Test-Driven Development, and version control (Git)
Familiarity with Agile development
Familiarity with container technologies (Docker, Kubernetes)
Ability to work with unit tests, integration tests and common Python testing frameworks
Familiarity with test-driven development
Strong analytical skills, and a creative mindset to effectively define problems and explore solutions
Well-developed and professional interpersonal skills; ability to interact effectively with people at all organizational levels of the firm
Ability to work in a team environment with a customer-service focus
Strong communication skills, both written and verbal
Organizational skills needed to manage time well, prioritize effectively, and handle multiple deadlines
Ability to handle confidential and sensitive information with the appropriate discretion
Ability to continually learn and grow in the AL/ML field

Nice To Haves

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science or related fields required

Responsibilities

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)