Software Engineer II - Python, AI/ML

Job Description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the AI/ML & Data Platform team, you will be part of an agile team dedicated to enhancing, designing, and delivering software components for the firm's cutting-edge GenAI technology products in a secure, stable, and scalable manner. You will execute software solutions by designing, developing, and troubleshooting various components within a technical product, application, or system, while acquiring the skills and experience necessary for growth in your role.

Job Responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion, and respect
  
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on Software engineering concepts and 2+ years applied experience
• Hands-on practical experience in application development, testing, and operational stability
• Hands-on experience with developing GenAI solutions.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in Python
• Experience across the whole Software Development Life Cycle
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  
  

Preferred Qualifications, Capabilities, And Skills

• Familiarity with modern front-end technologies
• Exposure to RAG, Agentic systems and MCP is a plus.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Exposure to cloud technologies (AWS preferred)
• Machine learning , NLP
  
  

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