AI Applications Engineer: Build Production-Grade AI Solutions

JPMorgan Chase Bank, N.A.; Taguig; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

JPMorgan Chase Bank, N.A. is seeking an AI Applications Developer to design, build, and deliver production-grade applications that apply model-driven capabilities to business needs.

You will partner with cross-functional teams to deploy secure, scalable AI solutions leveraging LLMs and advanced analytics. You will focus on planning, implementing, and validating prompts and agent-based workflows, with an emphasis on reliability, governance, and measurable outcomes across cloud services and data

Qualifications

• Professional experience building and deploying modern applications in production.
• Hands-on Python development experience, including writing maintainable, testable code.
• Demonstrated experience building intelligent applications using large language models, including prompt design and systematic evaluation.
• Demonstrated experience implementing agent frameworks (e.g., Google Agent Development Kit or similar).
• Demonstrated experience with retrieval-augmented generation solutions, including indexing, retrieval strategies, grounding, and citations.
• Hands-on experience with containerized development and deployment (Docker and orchestration platforms).
• Hands-on experience with cloud services for data and application workloads (e.g., managed compute, storage, databases, and serverless).
• Strong understanding of secure development practices, including identity and access controls and data handling principles.
• Ability to translate ambiguous business problems into technical designs, milestones, and measurable outcomes.
• Strong analytical and problem-solving skills, including root-cause analysis in production systems.

Responsibilities

• Design and deliver production-grade applications powered by large language models and advanced analytics
• Build agent-based systems that plan, decompose, and execute complex workflows across tools and services
• Develop and optimize prompts, evaluation methods, and guardrails to improve reliability and user outcomes
• Implement retrieval-augmented generation patterns to ground model outputs in trusted data sources
• Integrate applications with cloud services, data stores, and APIs to support end-to-end workflows
• Partner with product, data, engineering, and governance stakeholders to define requirements and deliver solutions
• Apply secure-by-design practices, including access controls, data protection, and auditability throughout development
• Create automated tests, monitoring, and observability to improve quality, safety, and operability in production
• Document architectures, decisions, and runbooks to enable supportability and reuse across teams
• Troubleshoot performance, latency, and model quality issues and deliver iterative improvements
• Stay current on advances in generative and agent-based approaches and translate them into practical solutions

Skills

Python

LLM apps

Prompt design

Agent frameworks

RAG

Cloud services

Secure-by-design

Production-grade

Problem solving

Tools

Docker

Kubernetes

AWS Bedrock

AWS Glue

Amazon Athena

Amazon RDS

Job description

JPMorgan Chase Bank, N.A. is seeking an AI Applications Developer to design, build, and deliver production-grade applications that apply model-driven capabilities to business needs.

You will partner with cross-functional teams to deploy secure, scalable AI solutions leveraging LLMs and advanced analytics. You will focus on planning, implementing, and validating prompts and agent-based workflows, with an emphasis on reliability, governance, and measurable outcomes across cloud services and data