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Trainee Software Engineer Java Python Jobs in New Jersey

ABOUT THE ROLE & TEAM As a Front-End Engineer, you will build the operational user experience of OCC Assistant Manager, SITA's AI-powered Operations Control Center solution that helps airlines manage ...

Java RPA Engineer

Jersey City, NJ · On-site

$54 - $74/hr

Java RPA Engineer Location: Jersey City/ NJ Duration: 6 months : * As a RPA Software Engineer, you ... A minimum of 1-3 years of experience in software development in a Linux, Core Java, Python , C/C ...

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Trainee Software Engineer Java Python information

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Lead Software Engineer - Agentic AI, Java/Python

JPMorganChase

Jersey City, NJ • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions, providing innovative financial solutions to a wide range of clients. As a Lead Software Engineer, you will enhance and deliver technology products while leading a team to develop AI-driven software solutions that align with business objectives.
Responsibilities:
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.
• Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.
• Translate business requirements into robust software and AI/ML specifications, define milestones, and ensure timely delivery using Agile methodologies.
• Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants
• Identify opportunities to automate and remediate recurring issues, improving overall system reliability.
• Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.
• 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.
Qualifications:
Required:
• Formal training or certification in software engineering concepts and 5+ years applied experience
• Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)
• Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability
• Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants
• Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions
• 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
• Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
• Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS)
• Hands-on practical experience delivering system design, application development, testing, and operational stability
Preferred:
• Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)
• AWS Certifications (Solution Architect Associate or Professional) are advantageous
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.