Jobs at nexos.ai

Own cloud and Kubernetes security for a live AI product, including infrastructure hardening, container security, identity and secrets management, alert triage, incident investigation, threat modeling, threat hunting, and remediation. Embed security into CI/CD, infrastructure-as-code, and GitOps workflows while automating repetitive tasks. Collaborate with SOC, DevOps, engineering, and leadership to address security risks and build security capabilities in a fast-moving startup.

Prospects target accounts through cold calls, email, and LinkedIn; qualifies leads, books discovery meetings, maintains CRM records, tracks pipeline metrics, collaborates with account executives and marketing, and represents the company at industry events.

Own the nexos.ai Gateway product lifecycle from discovery through launch and optimization. Translate customer and business needs into requirements, drive the roadmap, review technical solutions, coordinate releases, remove delivery blockers, and identify opportunities from AI trends including LLMs, RAG, and agentic systems. Collaborate closely with engineering, marketing, and business stakeholders to deliver intuitive AI infrastructure tools for enterprise users.

Own the company’s finance function, including FP&A, budgeting, forecasting, scenario modeling, accounting leadership, reporting, billing, revenue recognition, accounts receivable, audit readiness, and financial controls. Partner with executives on strategy, unit economics, pricing, hiring, and cash runway. Build scalable finance processes and systems, manage external advisors, and lead the transition to an independent, multi-country finance organization.

Lead product marketing for an AI no-code platform: develop positioning and narratives, partner with product and GTM teams, translate technical capabilities into customer value, drive launches and enablement for PLG and self-service audiences.

Lead AI/ML innovation and build production-grade, scalable AI systems. Evaluate and integrate LLMs and AI tooling, prototype POCs, contribute across product discovery and delivery, and implement context, retrieval, memory, and agentic solutions.

Lead AI technical direction and roadmap; prototype and productionize GenAI systems. Drive research strategy, design evaluation frameworks for LLMs, and build context, retrieval, memory, and agentic features. Work closely with product and cross-functional teams and evangelize AI internally and externally.

Build, own, and maintain Go-based microservices for an AI platform. Implement scalable, secure features for an AI orchestrator, collaborate on system design (DDD), deploy and monitor services, and iterate quickly in a startup environment.

Build, own, and maintain Go-based microservices for an AI orchestration platform. Design scalable, secure systems using distributed technologies and NoSQL, deploy and monitor services (Kubernetes, gRPC, Kafka), and collaborate across teams in a fast-paced startup.

Design, build, and maintain Go-based microservices for a scalable AI platform. Implement performant, secure backend features, own services end-to-end (development, deployment, monitoring), work with distributed systems, NoSQL, and high-load architectures, and collaborate cross-functionally in a fast-paced startup environment.

Build, own, and improve Go-based microservices for an AI platform. Write scalable, secure backend code, design systems using DDD, deploy and monitor services, and collaborate in a fast-paced startup.