Software Engineer III - AI/ML Engineer

Aumni; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase in Jersey City seeks an Software Engineer III to design and deliver agentic AI platforms and LLM-enabled services for Finance use cases. You will contribute to technical design, build cloud-native services on AWS, and improve system quality via observability and strong code reviews.

Responsibilities include building scalable AI components, embeddings, guardrails, and tool integrations, plus collaboration across product and platform teams to ensure reliable, secure delivery and

Qualifications

• 3+ years of applied software engineering experience and formal training or certification in software concepts.
• Hands-on experience building and operating production large language model applications, including agentic patterns and tool integrations.
• Strong fundamentals to deliver cloud-native services on AWS using containers and serverless designs.
• Advanced Python programming with production-quality code.
• Experience with retrieval-augmented generation, embeddings, semantic search and context engineering.
• Proficiency building React front ends that integrate backend APIs with reliability, security, and performance.
• Experience in evaluation, testing, monitoring practices for AI system quality and reliability.
• Ability to troubleshoot complex distributed systems and asynchronous workflows.
• Strong collaboration to communicate decisions and trade-offs clearly to partners.
• Understanding of responsible AI, data sensitivity, secure handling and resiliency.

Responsibilities

• Design and implement scalable agentic AI platforms for enterprise workflows.
• Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Implement retrieval and context-engineering patterns with embeddings and semantic search.
• Engineer cloud-native services on AWS with containers and serverless architectures.
• Optimize latency, throughput, caching, and cost for large language model workloads.
• Develop secure, reusable APIs and integrations to enterprise platforms.
• Implement evaluation, experimentation, testing, and observability signals.
• Collaborate with product and engineering teams to translate requirements into deliverables.
• Contribute to design reviews, documentation, and peer code reviews.
• Leverage AI-assisted development tools and ensure outputs are validated for correctness, performance, and security.

Skills

Large language models

Python programming

AWS cloud

React frontend

Distributed systems

Code reviews

Observability

Collaboration

Tools

Kubernetes

Docker

Git

Cloud orchestration

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Software Engineer III at JPMorgan Chase within Corporate Technology, you will help design and deliver agentic AI platforms and large language model-enabled services for Finance use cases. You will contribute to technical design, build cloud-native services on AWS, and improve system quality through evaluation and observability. You will help raise engineering standards through strong code reviews, documentation, and collaboration across teams.

Job responsibilities

• Design and implement components of scalable, reliable agentic AI platforms for enterprise workflows
• Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Implement retrieval and context-engineering patterns including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native services on AWS using containers, serverless compute, and event-driven messaging patterns
• Optimize latency, throughput, scalability, caching, context efficiency, and cost across large language model workloads
• Develop secure, reusable APIs and integrations that connect AI capabilities to enterprise platforms and workflows
• Implement evaluation, experimentation, regression testing, and observability signals to improve quality and agent behavior over time
• Partner with product, platform, and engineering teams to translate requirements into resilient, measurable deliverables
• Contribute to technical standards and code quality through design reviews, documentation, and peer code reviews
• 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
• Hands-on experience building and operating production large language model applications, including agentic patterns and tool integrations
• Strong software engineering fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS
• Advanced python programming skills with experience writing production quality code
• Experience with retrieval-augmented generation approaches, including embeddings and semantic search, and practical context engineering
• Proficiency building React based front end experience that integrates backend API and provides strong attention to reliability, security, and performance
• Experience establishing or contributing to evaluation, testing, and monitoring practices for AI system quality and reliability
• Ability to troubleshoot complex issues across distributed systems, including asynchronous workflows and event-driven architecture
• Strong collaboration skills with the ability to communicate technical decisions and trade-offs clearly to partners
• 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 deploying and operating workloads on Kubernetes-based platforms and container orchestration patterns
• Experience with experimentation frameworks and automated regression testing for large language model quality
• Familiarity with large language model cost governance and performance optimization techniques (for example, caching and context efficiency)
• Experience implementing guardrail patterns that support safe, reliable AI behavior in production
• Experience building reusable platform components and reference implementations adopted by multiple teams

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team