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acemate is building an AI learning & teaching platform for higher and further education institutions. We have strong traction, secured funding and are entering an exciting growth phase. We're looking for a…
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Build and maintain the internal AI agent platform that lets Procore teams create, deploy, and evaluate agents for ConTech workflows.
Build and shape BloomPath’s AI-powered platform for frontline teams, using TypeScript, Python, and cloud tools while owning production systems and guiding technical direction.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Build and deploy AI agents using LangChain/LangGraph on GCP, leading a team to architect cloud-native, scalable systems and mentor engineers while integrating cutting-edge LLMs and MLOps practices.
Senior AI Engineer at PwC’s India Acceleration Center, designing and running experiments with LLMs and AI agents to evaluate tools and produce client-ready insights using Python and cloud platforms.
Lead a global engineering team to build and maintain scalable Python and AWS-based platforms for front-office teams, enabling AI/ML workflows and improving developer experience.
ABOUT ELEMYNT ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance…
Formarás parte de proyectos innovadores en los que trabajarás en todo el ciclo de vida de las soluciones de IA Generativa: desde el diseño y la experimentación hasta su puesta en producción mediante prácticas de LLMOps…
Lead the architecture and hands-on development of an AI-driven telehealth platform, integrating LLMs and distributed systems on GCP while guiding a small engineering team.
Build and deploy AI/ML backend services for an evidence-based mental health platform, using Python, FastAPI, and LLM frameworks to power scalable, generative-AI features.
Build and maintain AI/ML platforms and services for a mental-health care company, deploying scalable Python-based systems on Kubernetes and integrating LLMs and vector databases.
A senior site reliability engineer at Deloitte focuses on keeping AI and cloud-native systems safe, performant, and cost-effective, using observability, chaos testing, and AI/ML operations to meet strict reliability standards.
Lead a team to ensure AI and cloud-native systems are reliable, performant, and cost-effective in production, using observability, SLOs, and AI/ML operations expertise.
Build and deploy AI-powered applications from prototype to production in 2–4 week sprints, shipping full-stack features that real users depend on using React, GraphQL, and agent frameworks like LangChain.
Leads AI agent measurement and modeling for an industrial staffing platform, defining metrics, experiments, and statistical rigor to improve agent performance and operational workflows in logistics and manufacturing.
This role focuses on ensuring the reliability, performance, and cost-effectiveness of AI and agentic workloads running on cloud platforms, using observability, SLOs, and automation to maintain high-quality production systems.
Senior MLOps engineer at a large Asian bank, building and deploying AI models (traditional, generative, agentic) into production using cloud, containers, and CI/CD pipelines.
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
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