Production-Grade AI Applications Engineer

JPMorganChase

Taguig

Hybrid

PHP 1.000.000 - 1.800.000

Vollzeit

Vor 8 Tagen

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Benefits dieser Stelle

Health insurance

Zusammenfassung

JPMorganChase is seeking an AI Applications Developer to design and deliver production-grade AI solutions that leverage model-driven capabilities for real business needs. You will partner with cross-functional teams to move from discovery to launch with security, scalability, and governance in mind.

Responsibilities include building agent-based systems, refining prompts and guardrails, grounding model outputs with trusted data sources, and ensuring observability and reliability in production

Qualifikationen

  • Proven experience building production-grade AI applications.
  • Hands-on Python development with testable code.
  • Experience deploying intelligent apps using large language models.

Aufgaben

  • Design and deliver production-grade AI applications powered by LLMs.
  • Build agent-based systems for complex workflows across tools.
  • Develop prompts, evaluation methods, and guardrails for reliability.
  • Implement retrieval-augmented generation grounded in data sources.
  • Integrate with cloud services, data stores, and APIs end-to-end.
  • Collaborate with product, data, engineering and governance teams.
  • Apply secure-by-design practices including access controls.
  • Create tests, monitoring, and observability for production quality.
  • Document architectures and runbooks to enable reuse.
  • Troubleshoot performance and model quality; iterate improvements.

Kenntnisse

Python development
LLM knowledge
Prompt design
Agent frameworks
Retrieval-augmented generation
Docker / containerization
Cloud services
Secure development
System observability

Tools

Kubernetes
AWS / cloud stack
SQL / databases

Jobbeschreibung

JPMorganChase is seeking an AI Applications Developer to design and deliver production-grade AI solutions that leverage model-driven capabilities for real business needs. You will partner with cross-functional teams to move from discovery to launch with security, scalability, and governance in mind.

Responsibilities include building agent-based systems, refining prompts and guardrails, grounding model outputs with trusted data sources, and ensuring observability and reliability in production

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