Benefits

Full Job Description

Role Overview This is a high-impact engineering role focused on building production AI agents that operate and automate large-scale GPU infrastructure. The role spans AI agent systems, distributed services, knowledge graphs, retrieval, orchestration, and developer tooling. You’ll own systems end to end, from architecture and implementation through deployment, observability, and production operations. What You Will Do Design and build production AI agent systems, develop distributed services, orchestration frameworks, knowledge graphs, retrieval systems, and supporting infrastructure that power AI agents. Build fleet intelligence capabilities, integrate agent systems with observability, incident management, and other systems through reliable APIs. Why It Might Be a Fit This is an opportunity to help shape how autonomous AI systems can safely and intelligently operate real-world infrastructure at massive scale. You’ll have significant opportunities for learning, experimentation, and professional growth in a rapidly evolving technology space. Requirements Bachelor’s degree or equivalent professional experience in Computer Science, Engineering, or a related technical field. 5+ years of professional experience building production backend systems, distributed systems, infrastructure platforms, or similarly complex software. Strong systems design capabilities and demonstrated experience taking significant systems from initial architecture through production. Deep expertise in at least one relevant area, such as AI agent systems, orchestration, tool use, evaluation, grounding, knowledge graphs, graph data modeling, search, retrieval, ranking, RAG, or semantic search. Strong backend engineering skills, including API design, service boundaries, data modeling, and integrations across complex technical environments. Experience with Kubernetes, GitOps practices such as ArgoCD, infrastructure-as-code, and cloud platforms. Proficiency in one or more relevant programming languages, such as Go, TypeScript, Python, or Rust, with the ability to work across multiple languages when required. Strong analytical and problem-solving abilities, with an interest in solving ambiguous and technically challenging infrastructure problems. Ability to own systems in production, balancing engineering quality, reliability, operational requirements, and delivery speed. Benefits Fully remote position based in India. Opportunity to work on AI agents operating at significant infrastructure scale. Exposure to the intersection of artificial intelligence, distributed systems, GPU infrastructure, knowledge systems, and automation. Opportunity to build foundational systems and influence the architecture of emerging autonomous infrastructure technologies. End-to-end ownership of production software, from design and development through deployment and operations. Collaborative environment with technically ambitious engineers and researchers working on challenging AI infrastructure problems. Significant opportunities for learning, experimentation, and professional growth in a rapidly evolving technology space. Opportunity to contribute to systems that have direct, measurable production impact.

Skills and Technologies