AI systems engineering and data infrastructure for enterprise production
Humancloud is a 201–500 person AI services firm built around Java/Spring and Python backends, AWS infrastructure, and Kubernetes orchestration. The project mix reveals heavy focus on agentic AI, RAG pipelines, and MLOps tooling — indicating a shift beyond consulting toward building production AI systems. Minimal hiring velocity (0 roles posted in 30 days, 6 open) and a senior-skewed engineering team (3 senior, 1 junior) suggest a services-led model where utilization and delivery depth matter more than headcount growth.
Humancloud partners with global enterprises on AI transformation, spanning data engineering, cloud infrastructure, and AI product delivery. The company specializes in moving organizations from AI experimentation to production workflows, with particular strength in agentic systems, multimodal AI, and RAG integration. Based in Mountain View and founded in 2019, Humancloud operates a primarily engineering-driven organization, with current work focused on BFSI clients, CI/CD automation, legacy migration, and production-scale AI workflows. The tech stack centers on Spring Boot and Python services running on AWS/Kubernetes, with tooling across Terraform, Jenkins, and API Gateway for infrastructure and deployment.
Java, Spring Boot, Python, Kubernetes, AWS (Lambda, API Gateway, CloudFormation), React, Docker, Terraform, Jenkins, and GitHub Actions. Also uses JUnit, Swagger/OpenAPI, and Hibernate for data layer.
Production-scale agentic AI workflows, multi-model RAG pipelines, CI/CD automation for cloud apps, infrastructure-as-code deployments, backend services for BFSI, and Model Context Protocol (MCP) integrations for real-time inference.
Currently hiring in India. Open roles are engineering-focused (5 of 6 total roles), with a mix of senior and junior levels.
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