Software Engineer III - Python, AI ML, Cloud

United States Digital Space LLC; Maharashtra; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JPMorgan Chase in Maharashtra seeks a Software Engineer III to design and deliver trusted, scalable AI-enabled technology products within Asset & Wealth Management. You will work as a seasoned member of an agile team, building LLM-driven applications, and ensuring security and reliability across cloud-based services.

You will collaborate with data science, cybersecurity, and DevOps teams, contribute to the SDLC, and apply responsible AI practices while advancing production code quality and

Qualifications

• Formal training or certification on software engineering concepts.
• 3+ years applied experience.
• Advanced Python programming and ML-driven product experience.
• Hands-on with cloud architectures on Azure/AWS.
• Experience with Kubernetes, Airflow, and Terraform.
• Secure coding practices in regulated environments.

Responsibilities

• Build and operate scalable LLM-driven applications.
• Collaborate with data science and cybersecurity teams.
• Coordinate with DevOps on data storage and processing systems.
• Develop secure production code and perform code reviews.
• Leverage AI coding assist tools and ensure safe outputs.
• Stay updated on AI advancements and integrate them.
• Contribute to SDLC tooling and automation capabilities.

Skills

Advanced Python

ML-driven products

Cloud certifications (Azure/AWS)

Kubernetes

Security/compliance in cloud

Education

Bachelor's degree in Computer Science or related field

Formal software engineering certification

Tools

Azure

AWS

Kubernetes

Airflow

Terraform

Job description

JOB DESCRIPTION

We 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 responsibilities

• Involves 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 skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Advanced 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 skills

• Experience 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.

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