3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build production-grade backend services and reusable platform capabilities for agent runtime, orchestration, state, memory, guardrails, and model access.
- Develop agentic workflows using planning, tool use, multi-agent collaboration, parallel execution, reflection, and human-in-the-loop patterns.
- Build durable, long-running asynchronous and event-driven workflows with retries, timeouts, state management, recovery, compensation, queues, messaging, and distributed processing.
- Build secure enterprise integrations, APIs, and protocol-based interfaces for tool invocation and agent-to-agent communication.
- Implement observability, tracing, and auditability across agent decisions, model calls, tools, and workflows.
- Design for security, reliability, scalability, and performance, including identity, authorization, data protection, and AI-specific risks.
- Partner across product, security, engineering, and architecture teams; participate in reviews; mentor engineers; and influence technical direction and standards.
Requirements
- 7–10 years of software engineering experience building backend and distributed systems.
- Strong hands-on Java and/or Python experience building production services and APIs.
- Practical experience building production agentic AI applications, including LLM integration, tool or function calling, and workflow orchestration.
- Strong understanding of distributed systems, asynchronous processing, event-driven architectures, and state management.
- Experience with databases, APIs, containers, Kubernetes, and cloud-native development.
- Experience with testing, CI/CD, code reviews, production troubleshooting, and operational excellence.
- Understanding of planning, memory, reflection, multi-agent workflows, human-in-the-loop systems, prompt injection, data privacy, access control, and model evaluation.
- Ability to mentor engineers, drive technical discussions, influence cross-functional teams, navigate ambiguity, and make pragmatic technical trade-offs.
- Preferred experience includes LangGraph, OpenAI SDK or similar agent frameworks, MCP, A2A, AG-UI, A2UI, Temporal, RAG, vector databases, agent memory, enterprise knowledge systems, model gateways, routing, guardrails, cost controls, AI evaluation, Azure/AKS, PostgreSQL, Kafka, Redis, OpenTelemetry, secure multi-tenant platforms, regulated industries, and production AI workloads at scale.
Benefits
- Opportunity to build a foundational Agentic AI platform for real enterprise digital workers and high-stakes business workflows.
- High ownership and influence over architecture, technology, and engineering practices at a fast-growing AI company.
- Work at the intersection of AI agents, distributed systems, workflow orchestration, and enterprise software.
- Headquartered in Los Altos, California.
Tech Stack
Categories
About JazzX AI
JazzX AI builds AI-native digital workers that execute governed, explainable workflows for enterprises, starting with lending and due-diligence processes. The company offers enterprise software and AI infrastructure to capture expert judgment, automate decisions, and run complex, regulated operations at scale. Founded in 2024 and privately held, it is based in California and backed by SAI Group.