Software Engineer, AGI Platform
About The Position
As a Software Engineer, AI Platform, you will help design, build, and operate core services and product capabilities for JazzX AI’s enterprise platform. This is a software engineering role with strong exposure to modern AI systems, including LLM-powered services, agentic workflows, retrieval systems, evaluation pipelines, and production-grade AI infrastructure. You will work across backend services, APIs, platform components, and product workflows that enable AI-driven enterprise applications to run reliably in production. You will collaborate closely with research engineers, product managers, designers, and other software engineers to turn AI concepts into scalable, secure, and operable systems.
Requirements
- 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.
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.
Benefits
- long-term capital
- deep operating expertise
- access to real-world enterprise scale
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
