AI-First Python Engineer II – Data & Risk Platforms

JP Morgan Chase; Buenos Aires; Presencial; ARS 170.334.000 - 263.243.000; Jornada completa

Descripción de la vacante

JPMorganChase is seeking an Experienced Software Engineer within the Global Technology team to design and deliver trusted, market-leading technology products in a secure, scalable way.

You will contribute to building modern data- and AI-enabled applications with an AI-first mindset, leveraging prompting techniques and LLM-driven workflows to accelerate delivery while maintaining high security and quality standards.

Formación

• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficient in coding in Java or Python.
• Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Overall knowledge of the Software Development Life Cycle.
• Understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• Demonstrated ability to deliver AI-enabled capabilities responsibly, including comfort working with prompting techniques, structured inputs/outputs, evaluation approaches, and iterative refinement in partnership with product and users

Responsabilidades

• Participates in the design and development of scalable and resilient systems using Python, SQL, React, AWS and other technologies to contribute to continual, iterative improvements for product teams.
• Executes software solutions including design, development, and technical troubleshooting across the full stack where needed.
• Partners with internal clients for requirements gathering, troubleshooting, and delivery of tools that enable better strategy, decisioning, and risk/cost management.
• Creates secure, high-quality production code and maintains services and algorithms that run reliably with appropriate upstream/downstream systems.
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene, data quality, and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies, including modern AI engineering patterns.
• AI-first / prompt-oriented development responsibilities (embedded into delivery): Designs and implements LLM-enabled features (e.g., summarization, extraction, Q&A, reasoning assistants) with attention to reliability, latency, cost, and user experience
• Practices prompt-oriented development: iterating on prompts and system instructions as first-class artifacts, using versioning, test cases, and measurable evaluation criteria (quality, groundedness, safety)
• Implements patterns such as retrieval-augmented generation (RAG), tool/function calling, workflow orchestration, and human-in-the-loop review where appropriate
• Builds evaluation and monitoring approaches for AI features (automated checks, regression tests, guardrails, observability) and continuously improves quality based on production feedback
• Applies secure engineering practices to AI-enabled systems, including data minimization, access controls, safe handling of sensitive information, and resilience against prompt injection and misuse
• Adds to team culture of diversity, opportunity, inclusion, and respect

Conocimientos

Python

Java

React

CI/CD

Agile methodologies

AI engineering

Prompting techniques

Herramientas

AWS

SQL

Descripción del empleo

JPMorganChase is seeking an Experienced Software Engineer within the Global Technology team to design and deliver trusted, market-leading technology products in a secure, scalable way.

You will contribute to building modern data- and AI-enabled applications with an AI-first mindset, leveraging prompting techniques and LLM-driven workflows to accelerate delivery while maintaining high security and quality standards.