Software Engineer, AGI Platform

JazzX AI is building AI-native digital workers that capture expert judgment, make decisions explainable, and continuously improve. The early‑stage role offers an opportunity to bring powerful AI systems to production for complex, regulated enterprise workflows. What You Will Do Build Core Platform Services 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 a strong focus on performance, reliability, and maintainability. Develop AI‑Enabled Product Capabilities 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. What We’re Looking For Required 3+ years of experience designing and building production software systems. 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. Good To Have: 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. If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact. As set forth in JazzX AI’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr JazzX AI