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Solution Architect (ГигаЧат Бизнес)
Solution Architect designs enterprise-scale GenAI/LLM systems, including RAG pipelines, agent orchestration, and secure on-prem deployments, while guiding clients through AI transformation and regulatory compliance.
Software Engineer, GPU Cluster Infrastructure
Build and operate a unified GPU compute platform for AI training and inference, hiding cloud complexity behind Kubernetes operators and schedulers that manage multi-cloud NVIDIA clusters.
Senior Forward Deployed Engineer I (AI Infra)
Senior engineer in Bengaluru who partners with AI-native companies to deploy, optimize, and scale production AI systems on DigitalOcean’s AI-Native Cloud, focusing on inference, agentic workloads, and platform tooling.
Machine Learning Inference Manager
Own and optimize the ML inference platform that powers real-time, near-real-time, and batch predictions for sports data, ensuring low-latency, cost-efficient serving across on-premise GPUs and cloud.
Member of Technical Staff, Accelerator Systems
Optimize and port AI inference/training kernels (SGLang, Miles) across NVIDIA/AMD GPUs, TPUs, CPUs, and emerging accelerators to maximize performance on heterogeneous hardware.
Software Developer (Golang & Kubernetes)
Builds and evolves RackAI, a cloud-native AI platform, using Go and Kubernetes to design scalable backend services, operators, and AI-driven tooling while shaping an AI-first engineering culture.
Principal AI Engineer
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
DL Performance Software Engineer - LLM Inference
Build and optimize GPU kernels and inference frameworks (e.g., vLLM) to accelerate large language model serving, integrating research into production-grade, open-source software.
System Software Engineer - Local AI
Build and optimize on-device AI inference software for NVIDIA GPUs, focusing on low-latency, memory efficiency, and deployment on RTX/DGX systems.
Lead AI Engineer
Lead the design and delivery of enterprise-scale AI systems, including agentic workflows, LLM applications, and MLOps tooling, using Python/Go and cloud-native stacks.
Senior Infrastructure Software Engineer, TensorRT Edge-LLM
Build and maintain scalable CI/CD infrastructure for NVIDIA’s TensorRT Edge-LLM, automating builds, tests, and deployments across embedded and cloud platforms using tools like GitLab, Kubernetes, and Docker.
Staff AI Software Engineer
Design and deploy cutting-edge AI/ML applications, including LLMs and computer vision, in a defense-focused R&D environment requiring Secret clearance.
Applied AI Engineer
Build production-grade AI systems (RAG, agents, APIs) for logistics operations, focusing on retrieval, evaluation, and cost-efficient deployment while owning end-to-end delivery.
AI Engineer / Agentic AI Developer
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
Senior Security Machine Learning / AI Engineer
Build and fine-tune AI models for security alert triage and risk scoring using enterprise telemetry, then deploy a multi-model routing layer that keeps costs predictable while improving accuracy over time.
Platform Engineer (Forward Deployment)
Build and deploy production AI systems for customers by designing end-to-end workflows, integrating AI infrastructure, and collaborating with engineering/product teams using Python, Go, React, and cloud-native tools.
Machine Learning Ops Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Ingeniero de Software de IA Segura
Build and secure high-performance AI inference backends using Python/Rust/C++ and cloud-native tools, integrating cryptographic attestation and mTLS to protect model weights and data.
Software Engineer, Secure AI
Build secure AI infrastructure by integrating microservices, cryptographic attestation, and confidential-computing runtimes to run AI models with hardware-enforced isolation.