Senior Agentic AI Engineer - Java/Python

Starbound NYC L.L.C.
Plano, TX, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Continuous Integration Mobile Application Software Python (Programming Language) NoSQL Data Streaming Large Language Models Multi-Agent Systems
+10 more
Backend Containerization Kubernetes Cassandra Apache Kafka Virtual Agents Api Design Splunk Dynatrace Microservices

Job description

JPMC is expanding a new engineering team focused on delivering Agentic AI capabilities and AI-driven features for the Chase Mobile App. These are highly senior positions requiring strong software engineering fundamentals combined with hands-on experience building and supporting enterprise-grade Agentic AI solutions. Candidates should be comfortable working across Python, Java, LangGraph, vLLM, multi-agent architectures, APIs, microservices, Kubernetes, AWS, Kafka, Cassandra, and production AI systems. Key Responsibilities

  • Design, develop, deploy, and support enterprise-grade Agentic AI applications.
  • Build multi-agent workflows, tool integrations, and autonomous decision-making systems.
  • Develop production applications using Python and Java.
  • Implement AI solutions using LangGraph, vLLM, LLMs, and retrieval technologies.
  • Design APIs, backend services, microservices, and integration patterns.
  • Build scalable containerized applications using Kubernetes and AWS.
  • Work with Kafka, Cassandra, NoSQL databases, and real-time streaming architectures.
  • Develop and maintain CI/CD pipelines and automated testing strategies.
  • Monitor, troubleshoot, and optimize AI-enabled applications in production.
  • Use tools such as Splunk and Dynatrace for monitoring and operational support.
  • Apply responsible AI, security, model governance, and enterprise development standards.
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Requirements

  • Strong Python and Java development experience.
  • Hands-on experience building Agentic AI solutions in enterprise/production environments.
  • Experience with:

  • LangGraph
  • vLLM
  • LLM/AI technologies
  • Multi-agent architectures
  • MCP (Model Context Protocol)
  • Strong understanding of API development and microservices.
  • Experience with Kubernetes and containerization.
  • AWS experience preferred.
  • Strong knowledge of Kafka, Cassandra, NoSQL, and real-time streaming.
  • CI/CD, automated testing, monitoring, and production support experience.
  • Experience with Splunk, Dynatrace, or similar monitoring platforms.
  • Understanding of responsible AI, security, governance, and enterprise standards.

Ideal Candidate A senior software/AI engineer who combines strong Java/Python backend development with hands-on Agentic AI experience and can take AI solutions from architecture and development through deployment, monitoring, and production support. High-priority profile: Python + Java + Agentic AI + LangGraph + vLLM + MCP + Kubernetes + Kafka + AWS + production AI experience.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:38 min

Establishing comprehensive monitoring and log management

Michael Eder +1 · LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

3:10 min

Correlating dispersed logs using structured request tracing

Michael Eder +1 · LIVE

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