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Builds full-stack features for Databricks' data/AI platform, focusing on scalable UI/UX and distributed systems to simplify insights from petabyte-scale data.
Builds and deploys large-scale AI agent systems using Databricks, integrating LLM/ML models into enterprise workflows to drive business productivity for clients like Metro and STM.
The AI Platform Engineer will build and operate secure, scalable infrastructure and services to support enterprise AI delivery in regulated financial environments. The role focuses on platform engineering, including CI/CD, Kubernetes, and data governance, to enable other teams to deploy and manage AI applications.
The Senior AI/ML Infrastructure Engineer builds and maintains the platform, tooling, and Kubernetes-based infrastructure required to train and deploy large-scale machine learning models. The role focuses on enabling ML engineers and researchers through scalable platform SDKs and GPU-optimized compute environments.
Design and deliver enterprise-scale AI/ML solutions on Azure/GCP, build MLOps pipelines, automate workflows with Terraform/GitHub Actions, and support Generative AI use cases.
The Senior AI Platform Engineer will build and maintain production backend systems for AI agents, focusing on tool execution, memory management, and evaluation infrastructure using Python, Postgres, and GCP.
Develops AI models that analyze raw RF/I/Q data for SIGINT/COMINT, designing detection/classification systems for real-world deployment on constrained hardware while shaping Datacept’s RFML research direction.
Developer Experience Engineer focused on designing, building, and maintaining open-source SDKs, APIs, and developer tooling to enhance adoption of ElevenLabs' AI voice and creative platforms.
Evaluate AI-driven clinical agents for acute symptom triage, diabetes management, and travel health guidance, ensuring clinical accuracy and patient safety.
The Builder/Architect will design and build agentic systems by combining LLM orchestration, prompt engineering, and tool integrations to solve real business problems. This role involves collaborating with cross-functional teams to scope, document, and implement reliable AI agents.
Build and maintain AI-native full-stack applications using Java/Spring Boot and Angular, integrating modern AI tools into engineering workflows and CI/CD pipelines.
Designs and implements AI, IoT, and data solutions for a health-tech platform, guiding teams to build scalable, secure systems and optimize cloud and data pipelines.
Business Analyst owning requirements discovery, backlog management, and stakeholder engagement across AI-driven solutions for critical industries, working in Agile squads with tools like Azure DevOps, Jira, and Confluence.
Senior Software Engineer building and scaling Kubbly's AI agent platform for business messaging, owning architecture, CI/CD pipelines, cloud infrastructure (AWS), and backend integrations.
Develop and maintain the backend for an AI-native workspace using Python or Ruby on Rails, building scalable RESTful APIs, integrating external services, and supporting AI/LLM features.
The Senior DevSecOps Engineer will build and maintain reliable, scalable infrastructure for AI/ML healthcare products using Kubernetes, GCP, and Terraform. This hybrid role requires expertise in CI/CD, security automation, and cloud operations to support high-availability services.
The Software Engineer will build innovative data platforms and energy management solutions using an AI-first approach. The role involves working in multidisciplinary teams to develop and improve measurement platforms using .NET, Azure, and CI/CD pipelines.
Brainbay is looking for a Senior .NET Cloud Engineer to develop APIs and cloud-native applications for real estate data and AI-powered features. The role involves end-to-end ownership of features within a small, international team in a hybrid work environment.
Follo is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines and data infrastructure using Python, TypeScript, and Google Cloud Platform. The role involves integrating LLMs into data workflows and optimizing cloud costs while working in a hybrid environment.
Develops highly scalable GenAI backend systems enabling autonomous agents to operate at enterprise scale, impacting hundreds of engineering teams' workflows.
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