Software Engineer, AGI Platform

Summary

JazzX AI is defining the future of enterprise work by building AI-native digital workers that enhance productivity and decision-making. As a Software Engineer for the AI Platform, you will design and develop core services and product capabilities for the enterprise platform, collaborating with cross-functional teams to create scalable and reliable AI-driven applications.

Responsibilities

• Design and develop scalable backend services, APIs, and platform components for enterprise AI applications
• Build reliable systems for workflow execution, orchestration, observability, and evaluation
• Contribute to cloud-native infrastructure and service architecture with strong focus on performance, reliability, and maintainability
• Integrate LLMs, retrieval pipelines, agent frameworks, and related AI services into production-grade product experiences
• Build and improve services that support prompt execution, tool use, knowledge retrieval, memory, and evaluation workflows
• Help operationalize AI systems with proper monitoring, traceability, governance, and scalability
• Work closely with research and AI engineers to productionize experimental capabilities
• Partner with product, design, and architecture teams to translate complex requirements into modular and scalable implementations
• Contribute to technical design discussions and help shape platform direction
• Write clean, testable, maintainable code
• Improve system operability through strong testing, logging, alerting, and automation
• Contribute to code reviews, technical standards, and engineering best practices

Skills

• 3+ years of experience designing and building production software systems
• Strong software engineering fundamentals in one or more of: Java, Python, Go, JavaScript/TypeScript, or C++
• Experience building backend services, APIs, and distributed systems
• Experience with cloud platforms, containers, and modern deployment practices
• Strong understanding of software quality, testing, debugging, and operational reliability
• Ability to work in a fast-moving, cross-functional environment and turn ambiguous requirements into working systems
• Experience with AI/ML-enabled products or platforms
• Familiarity with LLMs, retrieval-augmented generation, prompt workflows, or agent frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen
• Exposure to MLOps, observability, evaluation frameworks, or experimentation platforms
• Experience with knowledge graphs, ontology-driven systems, or enterprise search and retrieval is a plus
• Experience with Kubernetes, Docker, infrastructure as code, and cloud-native architecture

Qualifications

Must Haves

• 3+ years of experience designing and building production software systems
• Strong software engineering fundamentals in one or more of: Java, Python, Go, JavaScript/TypeScript, or C++
• Experience building backend services, APIs, and distributed systems
• Experience with cloud platforms, containers, and modern deployment practices
• Strong understanding of software quality, testing, debugging, and operational reliability
• Ability to work in a fast-moving, cross-functional environment and turn ambiguous requirements into working systems

Nice to Haves

• Experience with AI/ML-enabled products or platforms
• Familiarity with LLMs, retrieval-augmented generation, prompt workflows, or agent frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen
• Exposure to MLOps, observability, evaluation frameworks, or experimentation platforms
• Experience with knowledge graphs, ontology-driven systems, or enterprise search and retrieval is a plus
• Experience with Kubernetes, Docker, infrastructure as code, and cloud-native architecture