Software Engineer – Agentic AI (Python/Java)
About The Position
JPMorgan Chase is seeking an experienced Software Engineer – Agentic AI to design, develop, and deploy enterprise-grade AI applications powered by autonomous agents and Large Language Models (LLMs). The ideal candidate will have strong software engineering fundamentals with hands-on experience building Agentic AI solutions using modern AI frameworks while developing scalable applications in Python and Java. This role requires experience in designing intelligent multi-agent systems, integrating enterprise tools, and deploying AI-powered solutions into production environments.
Requirements
- 8+ years of software development experience with Python or Java.
- Hands-on experience building and deploying Agentic AI applications in enterprise environments.
- Strong experience with: Python, Java, LangGraph, vLLM
- Experience designing and orchestrating multi-agent workflows and autonomous AI systems.
- Hands-on experience integrating LLMs with enterprise applications using APIs and external tools.
- Strong understanding of Retrieval-Augmented Generation (RAG) concepts and retrieval pipelines.
- Experience with REST APIs, microservices architecture, and distributed systems.
- Strong knowledge of prompt engineering, agent orchestration, and tool calling.
- Experience monitoring, troubleshooting, and optimizing AI applications in production.
- Understanding of responsible AI, model governance, security, and enterprise AI best practices.
- Experience working in Agile development environments.
- 8+ years of software engineering experience.
- 2+ years of hands-on experience building production-grade Agentic AI or LLM-based applications.
- Experience deploying AI solutions into production environments.
- Excellent problem-solving and communication skills.
Nice To Haves
- Experience with vector databases such as Pinecone, pgVector, FAISS, or OpenSearch.
- Experience with LLM platforms such as OpenAI, Anthropic Claude, or AWS Bedrock.
- Knowledge of Kubernetes, Docker, and cloud platforms (AWS preferred).
- Experience with CI/CD pipelines, Git, and DevOps practices.
- Familiarity with observability and monitoring tools such as Grafana, Splunk, or Prometheus.
Responsibilities
- Design, develop, and deploy enterprise-grade Agentic AI solutions.
- Build intelligent multi-agent workflows using LangGraph.
- Develop scalable AI services using Python or Java.
- Integrate LLMs with enterprise APIs, databases, and business applications.
- Optimize inference performance using vLLM and modern serving frameworks.
- Implement RAG pipelines and AI orchestration workflows.
- Collaborate with cross-functional engineering and product teams to deliver AI-powered capabilities.
- Ensure production readiness through monitoring, testing, security, and performance optimization.
- Follow enterprise engineering standards and AI governance practices.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
