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JOB DESCRIPTIONWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilitiesInvolves in building and operating highly sophisticated LLM driven applications.Partners directly with other technology teams on LLM projects to advise and assist as needed.Collaborates with Data Science, Cybersecurity to deliver state of the art ML products.Collaborates with Devops engineers to plan and deploy data storage and processing systems,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.Stays abreast of the latest advancements in AI technologies, and drive their integration into our operations.Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.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.Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 3+ years applied experienceAdvanced python programming skills. Proven experience in building and operating scalable ML-driven products.Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) . Hands on experience in Azure and AWS.Proficiency with cloud technologies like Kubernetes, Airflow. Experience working in a highly regulated environment.Proven ability to iterate quickly. Proficient in all aspects of the Software Development Life Cycle.Terraform, IaaC experience. Experience with design & delivery of large scale cloud-native architectures.Experience with microservices performance tuning, performance optimization, real-time applications.Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.Preferred qualifications, capabilities, and skillsExperience with financial data and data science. Experience in developing AI solutions using agentic frameworks.Experience fine-tuning LLMs with advanced techniques to enhance performance.Experience with prompt optimisation to improve the effectiveness of AI applications.Demonstrated ability to design and implement robust AI application architectures.ABOUT US .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.