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Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses…
Builds and deploys LLM-powered features (agents, RAG, tools) with React/TypeScript frontends and Python or Go backends, integrating vector stores and agent frameworks.
Lead a team to build and scale the AI/ML platform, data substrate, and MLOps pipelines using tools like Spark, Kafka, and vector databases for real-time and generative AI workloads.
Designs and operates cloud-native data infrastructure on AWS (EKS, RDS), automating pipelines and ensuring performance, availability, and scalability for production databases.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build and evolve a B2B SaaS platform that finances energy-efficiency retrofits using AI-driven regulatory engines and LLM tools in Python, FastAPI, and vanilla JS.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
Backend engineer building and optimizing databases, ETL pipelines, and FastAPI services to power a data-driven platform for a global communications agency.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Build and maintain Porch Group’s Agentic Platform: retrieval pipelines, remote agent deployment, MCP servers, and LLM evaluation on Python/TypeScript/Kubernetes/GCP, enabling AI across JVM-based services.
Build and architect agentic AI systems (RAG, tool-calling agents) in .NET/C# and Python, then enable WellSky’s engineering teams to adopt them via shared libraries, training, and CI/CD tooling.
Build and deploy AI-powered healthcare tools using LLMs, RAG, and multi-agent systems to improve senior care access and outcomes.
Build and deploy enterprise-scale agentic AI systems using LLMs, multi-agent orchestration, and RAG, focusing on scalable workflows, governance, and production-grade reliability.
（日本語が下部に続きます） About AIRoA The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the…
Senior AI & Solutions Engineer AI • Salesforce • LLMs • Intelligent CRM • Full-Stack Engineering Build the Future of AI-Powered Enterprise Solutions We are looking for an exceptional Senior AI & Solutions…
Designs enterprise AI solutions (RAG, agents, assistants) and integrates them with clients’ systems using cloud services and APIs.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Build production-ready AI apps for enterprises using LLMs, RAG, AI agents and workflow automation, integrating them into existing systems.
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