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Software and Data Engineer

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Software and Data Engineer in USA

  • JPMorgan Chase
  • Full time
  • Email
  • Jersey City, NJ

Responsibilities

  • Design and ship production agents on NEO from prototype through production.
  • Build production-grade Graph RAG and retrieval systems using knowledge graphs, vector search, chunking, ranking, and grounding strategies.
  • Design episodic and semantic agent memory with recall, summarization, and decay policies.
  • Manage entitlement-, lineage-, and tenant-aware organizational context for secure agent reasoning.
  • Compose multi-agent workflows with A2A and integrate tools and data through MCP servers.
  • Build task-level and end-to-end evaluations, regression suites, LLM-as-judge systems, and quality and safety gates.
  • Deploy and operate agent solutions on AWS and/or Azure with strong SDLC, security, resiliency, and observability practices.
  • Partner with product and business stakeholders to deliver supported agents and improve system architecture and coding hygiene.

Requirements

  • Formal software engineering training or certification and at least 3 years of applied experience working on AI/ML solutions.
  • Hands-on experience with system design, application development, testing, and operational stability.
  • Advanced programming ability, especially in Python, with knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
  • Production experience building LLM-powered or agentic applications, including tracing, evaluations, and guardrails.
  • Deep proficiency with Kubernetes and Amazon EKS, micro-VM isolation, sidecar architectures, network and mTLS security, workload identity, fine-grained authorization, runtime isolation, and application-level guardrails.
  • Practical RAG experience with retrieval quality, embeddings, and vector stores, plus expert knowledge of AWS, Azure, or Kubernetes.
  • Knowledge of data management and data model design, including real-time processing with SQL and NoSQL stores.
  • Experience partnering with senior technical and business stakeholders and proficiency across the Software Development Life Cycle.
  • Preferred qualifications include an MS in Computer Science, Statistics, Mathematics, Machine Learning, or a related field, or equivalent experience.
  • Preferred experience includes agent frameworks or runtimes, A2A, MCP, agent memory, organizational context management, knowledge graphs, graph databases, Graph RAG, LLM fine-tuning, small language model inference, modern JavaScript/TypeScript frameworks, financial or payments technology, Go, or Rust.

Benefits

  • Competitive total rewards package with benefits including comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash or forfeitable equity.
  • Additional total compensation and benefit details are provided during the hiring process.

Salary: $138k - $185k/yr

JPMorgan Chase

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the ...

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