AI infrastructure and enterprise solutions for industrial, retail, and government sectors
Valiance Solutions builds AI systems for mission-critical enterprise and government use cases, with engineering focus on LLM inference optimization. Active projects show a shift toward operational efficiency: vLLM deployment tuning, Kubernetes autoscaling, and H200 GPU pipelines signal heavy investment in reducing inference cost and latency at scale. Hiring velocity is accelerating across engineering and sales, with a concurrent push into public-sector channels.
Valiance Solutions is a deeptech AI company founded in 2018, headquartered in Noida, India, with over 200 engineers and data scientists. The company designs and deploys AI solutions across industrial manufacturing (predictive maintenance, process optimization, safety monitoring), retail and CPG (demand and supply planning), and government institutions (sovereign AI platforms, citizen services, secure data intelligence). Beyond single-solution deployments, Valiance helps organizations establish AI Centers of Excellence. The company is a Google Cloud Partner and has received the NASSCOM AI GameChangers Award and the Aegis Graham Bell Award.
React, Vue, TypeScript, JavaScript, REST, WebSocket, GitHub, vLLM, Docker, Kubernetes, gRPC, and GCP. Heavy emphasis on containerized LLM inference via vLLM and Kubernetes orchestration.
Yes. Five roles are active with accelerating velocity: two engineering positions, one product, one sales, and one manager role. All hiring is currently in India. Seniority mix includes senior and mid-level IC roles.
LLM inference pipeline optimization (H200 GPUs), vLLM deployment tuning, Kubernetes autoscaling for inference, public-sector sales expansion, and channel partner ecosystem development. Core focus: reducing inference cost and latency while scaling reliability.
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