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Design and deliver enterprise-grade generative and agentic AI systems on AWS, leveraging Amazon Bedrock, Strands Agents, and related services to build scalable, secure AI platforms.
Designs and leads enterprise-grade generative and agentic AI systems on AWS, using Amazon Bedrock, Strands Agents, and related services to deliver scalable, secure, and production-ready AI platforms.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead end-to-end architecture for cloud, data, and AI systems, designing scalable, secure solutions and mentoring teams to ship production-ready AI in 30–45 days.
Lead the design of cloud, data, and AI systems for enterprise clients, setting technical direction and mentoring teams to ship production-ready AI in 30–45 days.
Deploys and maintains GenAI agents in client cloud environments (Azure/AWS), focusing on containerized model-serving APIs, CI/CD pipelines, and observability. Works cross-functionally with data scientists to ship production-grade AI systems for enterprise clients.
Hands-on technical lead who designs, builds, and scales production-grade AI systems: defining architecture, leading ML/LLMOps implementation (RAG, agentic orchestration, inference pipelines, AWS), and mentoring engineers. Requires 5+ years in AI/ML engineering with strong Python and distributed systems experience.
Design and deliver cloud, data, and AI/ML systems as a Senior Cloud Architect, building microservices, serverless and containerized workloads, implementing IaC and CI/CD pipelines, and shaping data and model deployment architectures using Python and modern AI tools.
ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure.…
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across…
Senior/founding backend engineer at Zipher, which builds an autonomous execution layer for cloud data and AI workloads. You'll architect and scale distributed, high-throughput backend services that make real-time multi-cloud infrastructure decisions, primarily using Python or Go and AWS services like EMR, DynamoDB, Kinesis, and Kubernetes.
Build and scale Gusto’s ML/AI platform, designing MLOps pipelines, feature stores, and deployment frameworks to enable reliable, scalable AI services for internal teams.
¿Te apasiona convertir datos en soluciones que generan impacto real? ¿Has trabajado desarrollando modelos de Machine Learning y además creando soluciones con IA Generativa y agentes inteligentes? Entonces queremos…
Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps,…
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping…
Senior Data Scientist builds and deploys NLP and machine learning models to extract, classify, and analyze large-scale legal, news, and business data for internal products.
We are looking for a Partner Alliances Manager to build and grow strategic technology partnerships that accelerate WEKA’s growth. This person will work closely with partners, sales, marketing, and product teams to…
CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be…
The Senior Product Owner will lead the roadmap and delivery of proprietary software and AI-enabled assets by collaborating with cross-functional teams. This role focuses on translating business needs into technical requirements for generative AI, machine learning, and cloud-based products.
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