Software Engineer III, Data Engineer Applied AI (LLMs)

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 37 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $181k

$132k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $147,375–$214,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1058 open roles on FindRole.

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At a glance

TL;DR · Software Engineer III, Data Engineer Applied AI (LLMs)

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As a Software Engineer III - Data Engineer/Applied AI (LLMs) within the Asset & Wealth Management team, you will serve as a core technical contributor in an agile environment to build and deliver secure, scalable technology products. You will be responsible for designing, developing, and troubleshooting full-stack applications while building agentic production data platforms. Your daily work involves writing high-quality code, managing large datasets, and implementing AI-first development practices using tools like Claude Code to create autonomous agents and MCP servers. The role requires proficiency in React or Angular with TypeScript for the frontend, and Python, Java, or Kotlin with REST or GraphQL for the backend. You will utilize Spark, Kafka, Airflow, Snowflake, and AWS for data engineering, alongside containerization and CI/CD practices while applying RAG, embeddings, and guardrails within LLM workflows.

Skills

Python Java Kotlin TypeScript React Angular Spark Kafka Airflow Snowflake AWS LLMs Claude Code RAG REST GraphQL CI/CD Containers Data Engineering

What you'll do

Write secure, high-quality code using at least one programming language with minimal guidance.
Develop and maintain an agentic production data platform with full-stack application ownership.
Build autonomous agents and MCP servers to enhance product capabilities and deliver business value.
Utilize enterprise-authorized AI coding tools for code generation, refactoring, and automated testing.
Validate all AI-generated outputs through peer review, automated testing, and secure coding standards.
Analyze large, diverse datasets to identify problems and support decision-making for stable application development.
Implement AI-first development practices using Claude Code and other LLM-based technologies.
Manage the full software development lifecycle including CI/CD, containerization, and observability.

What we're looking for

Formal training or certification on software engineering concepts and 3+ years of applied experience.
Hands-on experience using enterprise-authorized AI-assisted development tools to code, test, troubleshoot, and document while validating outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity and security requirements.
Proficiency in frontend technologies like React or Angular with TypeScript.
Proficiency in backend languages such as Python, Java, or Kotlin with REST or GraphQL.
Experience with Spark, Kafka, Airflow, Snowflake, and AWS for data engineering and platform development.
Experience with containerization, CI/CD, observability, and controlled release practices.
Expertise in applied AI with LLMs including Claude Code, RAG, embeddings, and agent tool calling; financial services experience (preferred).