Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Learn Beyond Consulting LLC

Java Software Engineer_ Agentic Ai_ W2

Career Insights for Java Developer / Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Texas data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Java Developer or Engineer designs or improves computer software using the JAVA computer programming language. Oversees the JAVA software application development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.

$108,467 / year median in Texas

+8% projected growth

Explore Career

Job Description

Title:
Java Software Engineer Agentic Ai Location
  • Candidate should be in TX or Columbus Location due to onsite interview. Skills
  • Must
  • Agentic AI , working with Ai Development and websites or any open AI .
Java Software Engineer Job Description Be an integral part of an agile team that''''s constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer within the Consumer and Community Banking s technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies. Adds to the team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in Java programming language Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Experience designing, deploying, and managing containerized applications using Kubernetes In-depth knowledge of the financial services industry and their IT systems