Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Applied AI ML Associate
- Location
- Bengaluru
- Type
- Full time
- Posted
- 10D AGO
About the role
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 JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
-
Executes standard software solution, design, development, and technical troubleshooting
-
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
-
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
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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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
-
Applies technical troubleshooting to breakdown 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
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Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
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Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
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Hands-on practical experience in system design, application development, testing, and operational stability
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Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
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Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
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Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
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Experience across the whole Software Development Life Cycle
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Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
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Experience adopting AI-native engineering practices at team or organizational scale
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Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
-
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
-
Track record of reducing operational toil and cost through automation and better engineering
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