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AI Software Engineering Analyst
Build AI-driven automation for software engineering at a global bank: design deterministic agents, integrate LLMs into CI/CD, and deploy scalable cloud-native systems using AWS/GCP.
Data Scientist, Applied AI - Remote
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Data Scientist
Build and deploy data products for ag-tech e-commerce and supply chain using Python, SQL, Kubeflow, and Google Cloud, specializing in recommenders, search, or operations.
Sr AI Engineer
Build and deploy scalable AI/ML systems, LLMs, and GenAI pipelines for enterprise use, integrating models into APIs and cloud platforms while ensuring performance, compliance, and continuous learning.
Principal Staff Engineer, AI Platform Research, Data Science (Remote)
Principal Staff Engineer builds and optimizes exabyte-scale data platforms for LLMs, RAG, and agentic AI systems that power CrowdStrike’s AI-native cybersecurity products.
Lead Software Engineer, AIML Platforms
Lead the design and operation of AWS-based Kubernetes infrastructure for AI/ML workloads, enabling data scientists to train and deploy models at scale.
Principal ML Ops Engineer (EMEA Remote)
Build and operate scalable ML inference platforms for an AI-native cloud startup, designing GPU-powered serving systems, deployment pipelines, and observability for real-time AI applications.
ML Ops Engineer (EMEA Remote)
Build and operate scalable ML inference platforms using vLLM/TGI/Triton to serve AI models with low latency and high GPU efficiency for a next-gen cloud startup.
AI Engineer (Managed Services)
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
AI/ML Engineer Manager
Lead a team to build and manage a centralized AI/ML Models-as-a-Service platform, overseeing model development, deployment, and MLOps pipelines for enterprise use.
MLOps engineer
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Manager,Software Engineer-AI
Lead a team of software engineers building AI/ML models and platforms for Conga’s products, including feature stores, model training, and monitoring pipelines.
Инженер по ИИ/AI Agent Engineer (LLM & Agentic Systems)
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Domain Architect - AI Compute
Salary: $150 – $170 per hour About the Role The Domain Architect - AI Compute acts as the primary technical authority for the physical and logical lifecycle of high-performance GPU compute fleets across diverse client…
Sr MLOps Engineer
Build and maintain the Kubernetes-based infrastructure and MLOps tooling that trains, validates, and deploys AI models for Intuitive Surgical’s medical devices, ensuring reproducible workflows and GPU cluster health.
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.
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.
Staff Machine Learning Engineer, Generative AI, Voice & Speech
Staff ML Engineer specializing in generative AI for voice and speech, designing scalable AI-powered features and infrastructure to enable product innovation at Weave. Focuses on audio/voice models, LLMs, RAG, and distributed systems for large-scale B2B applications.
Staff ML - GenAI Engineer, Voice & Speech
Build and lead ML infrastructure for voice/GenAI at scale, enabling teams to ship AI-powered features while democratizing ML tooling for developers.