Software and Data Engineer - Software Engineer III- Agentic Pricing
JPMorgan Chase6 hours ago
Base Salary
$138k - $185k/yr
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.
Tech Stack
AWSAzureDatabricksGoJavaScriptKubernetesNext.jsPostgreSQLPythonRedisRustSnowflakeSplunkSQLSvelteTypeScript
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.