Principal Software Engineer — AI & Data Engineering
JPMorgan Chase5 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, test, deploy, operate, debug, monitor, and improve production AI-native services, agent systems, APIs, automation services, data pipelines, and cloud-native components.
- Build reliable agent and multi-agent solutions with secure tools, enterprise context, prompts, resources, APIs, knowledge sources, and reusable capabilities.
- Architect and govern AI-enabled engineering workflows with validation, security, resiliency, auditability, and reuse guardrails.
- Implement tool calling, planner/executor patterns, memory, state management, long-running workflows, human-in-the-loop review, approval gates, access controls, audit trails, and safe-failure behavior.
- Develop ingestion, transformation, curation, metadata enrichment, retrieval, vector/search, data quality, connector, and integration pipelines for AI grounding.
- Own observability, tracing, telemetry, evaluation, regression testing, prompt and version management, drift monitoring, incident response, resiliency testing, performance tuning, and cost optimization.
- Lead design and code reviews, debugging sessions, incident analysis, technical spikes, reference implementations, mentoring, and stakeholder-driven engineering roadmaps.
Requirements
- Formal training or certification in software engineering concepts and 7+ years of applied experience.
- Production experience architecting, developing, deploying, operating, debugging, and improving AI systems, agentic services, APIs, automation services, and cloud-native workloads.
- Deep hands-on experience with Google ADK and MCP, or equivalent production experience with LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, Microsoft Agent Framework, Semantic Kernel, LangChain, LlamaIndex, or similar ecosystems.
- Experience leading adoption of agentic AI-enabled development practices, including human-in-the-loop validation, auditability, traceability, and sensitive-data protection.
- Strong understanding of responsible AI, security, resiliency, data sensitivity, and risk-based governance, with the ability to influence senior technical leaders.
- High proficiency in Python and practical experience with AI/ML frameworks such as LangChain, LlamaIndex, PyTorch, Hugging Face, or equivalent libraries.
- Experience designing versioned prompts, tool instructions, few-shot examples, chained workflows, testing, regression analysis, review, traceability, and release controls.
- Experience with embeddings, vector stores, search, retrieval, ranking, grounding, context assembly, evidence-based responses, model evaluation, hosted APIs, self-managed deployments, caching, batching, routing, and fallback patterns.
- Experience evaluating and monitoring LLM and agent behavior for task success, factuality, groundedness, policy compliance, hallucinations, regressions, latency, cost, tool-use accuracy, drift, and operational anomalies.
- Experience implementing prompt-injection resistance, secure tool use, output validation, sensitive-data handling, decision traceability, custom MCP servers and tools, connectors, tool registries, and interoperability patterns.
- Preferred: experience with FINOS CALM or similar architecture models and with operating enterprise repositories and artifact stores for architecture metadata, controls, compliance evidence, and reusable patterns.
- Preferred: experience mitigating prompt injection, tool misuse, data leakage, unauthorized actions, insecure retrieval, data poisoning, unsafe model behavior, model deployment, registries, evaluation pipelines, CI/CD for AI services, scalable serving, and runtime observability.
Categories
AI ApplicationsData Engineering
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.