Software Engineer III - AI/ML, Java/Python, REACT at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, React, AI/ML, LLM, RAG, AWS, CI/CD, API Design, Vector Search, Distributed Systems, LangChain, NoSQL, Relational Databases, Event-Driven Architecture, Observability

Industry

Financial Services

Description

We are seeking a highly motivated and innovative technologist passionate about solving business problems using modern software engineering and applied AI techniques at enterprise scale. Our team is focused on improving end-to-end risk and control posture for the Line of Business by building resilient platforms, reliable services, and prompt-enabled workflow automation. We embrace a culture of experimentation, continuous learning, and disciplined engineering execution. As a Software Engineer of JPMorgan Chase within Commercial and Investment Bank (CIB), you will design and deliver production-grade applications and platform capabilities that embed LLM-enabled workflows into core systems—backed by strong guardrails, observability, and governance. You will partner closely with Business, Operations, Risk, and Technology stakeholders to translate intent into scalable, auditable solutions with clear, actionable outcomes. Job responsibilities * Build and operate resilient backend services and APIs that power enterprise workflows and AI-enabled capabilities. * Integrate LLM/prompt capabilities into production services with guardrails, fallback paths, response validation, and clear auditability. * Design service interfaces with strong API contract management, versioning, and integration patterns. * Implement retrieval patterns (e.g., RAG) and orchestration workflows using LangChain or similar frameworks, connecting models to approved enterprise data sources and APIs (subject to firm-approved tooling). * Implement and optimize vector search/embedding solutions (e.g., pgvector or equivalent) including indexing strategy, metadata filtering, hybrid search, and production scaling (subject to firm-approved tooling). * Build intuitive user experiences for AI-powered applications and dashboards using modern front-end frameworks (React preferred). * Design and manage persistence layers using relational and/or NoSQL databases; apply strong data modeling and schema design. * Apply event-driven and asynchronous processing patterns where appropriate; ensure reliability and idempotency. * Build CI/CD pipelines, release automation, and environment promotion controls; drive repeatable, safe delivery. * Implement robust testing strategies (unit, integration, end-to-end), establish strong observability (logs, metrics, tracing, alerting), diagnose performance/reliability issues in live systems, and translate ambiguous requirements into clear technical designs and deliverables with effective stakeholder communication. Required qualifications, capabilities, and skills * BS/BA degree in Computer Science, Engineering, Information Systems, or equivalent experience. * 3+ years of hands-on software engineering experience delivering production systems. * Strong experience building backend services and APIs in Java and/or Python. * Solid foundation in distributed systems, service design, and API contract management. * Experience with cloud-native development and familiarity with AWS services. * Experience with CI/CD, release automation, and modern deployment practices. * Proficiency in testing practices and production readiness (quality, reliability, operational support). * Strong collaboration and communication skills; ability to convert business intent into executable technical plans. Preferred qualifications, capabilities, and skills * 1+ years integrating AI/LLM functionality into enterprise applications, including guardrails and monitoring. * Experience with vector search/embeddings and retrieval-enabled architectures (RAG). * Experience with observability platforms and SRE-style operational practices. Experience with secure SDLC practices and governance expectations. * Experience in financial services, technology risk, controls, or audit-oriented environments. Relevant cloud certifications. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Design and deliver production-grade applications that integrate LLM-enabled workflows and resilient backend services into core systems. Partner with stakeholders to build scalable, auditable AI solutions with strong guardrails and observability.