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Principal engineer designing and optimizing high-speed AI networking infrastructure for Microsoft’s MAIA platform, spanning RDMA, TCP/IP, and AI fabric to enable next-gen AI training and inference at hyperscale.
Synthpop is hiring a Senior Software Engineer to build scalable Python-based backend infrastructure and AI agents that automate administrative healthcare tasks. The role involves optimizing LLM inference and ensuring secure, high-performance service delivery in a hybrid, San Francisco-based environment.
Developer Advocate at Fireworks AI builds and promotes hands-on technical content (tutorials, demos, guides) to help developers deploy and fine-tune AI models in production. Combines engineering (coding, model deployment) with public technical communication (blogs, talks, community engagement) to shape Fireworks as the go-to platform for AI infrastructure.
The MLOps Engineer will work on a long-term project in Spain, focusing on the configuration, administration, and optimization of Stratio components. The role requires a strong background in STEM and specific experience with the Stratio platform.
The Production AI Engineer will work in cross-functional pods to design, deploy, and scale AI applications, agentic workflows, and data products at Agilent Technologies. The role focuses on building production-ready AI solutions with strong governance to drive business impact across scientific and operational functions.
The Junior Big Data & AI Engineer will work on data and AI projects, focusing on designing cloud-based ETL/ELT pipelines and developing notebooks using PySpark and Azure Databricks.
The Junior Data & AI Engineer will design and build scalable data platforms and intelligent business solutions. The role involves working with architects to integrate data pipelines, Big Data processing, and Generative AI within cloud environments.
The Forward Deployed Engineer will own the end-to-end deployment of the Unum enterprise AI platform within complex customer environments. This role involves building integrations, designing agentic workflows, and translating customer needs into core platform capabilities using Python and cloud technologies.
Build data models and dashboards to forecast revenue, track feature adoption, and predict churn for an LLM-powered B2B SaaS platform serving top private equity and consulting firms.
The Delivery Manager will lead customer deployments and manage internal teams within the Customer Success department, utilizing Agile methodologies to ensure successful project delivery for AI-powered insurance products.
The Senior MLOps Engineer will manage the operational lifecycle of production machine learning models in a biomedical context, focusing on deployment, monitoring, and scaling infrastructure. The role involves working with distributed training technologies and cloud-native tools to support drug discovery research.
Build and deploy large-scale biomedical AI models that accelerate drug discovery, turning research into production-ready systems.
Build and scale secure, low-latency authentication services in Go/Python that power voice-based identity verification, integrating AI/ML signals for fraud detection across AWS/GCP.
The Forward Deployed Engineer will partner with legal industry customers to build, prototype, and deploy AI-powered systems using OpenAI's models. This role involves embedding with clients to solve complex workflows and translating field feedback into scalable product improvements.
Develops AI/ML-powered software systems for Google’s gUP Customer Support, focusing on user voice and AI assistant features. Works on full-stack solutions, model integration, and 24x7 support systems while collaborating with engineering, product, and UX teams.
The Solutions Architect will bridge product depth with business outcomes by designing technical solutions for enterprise customers and partnering with Sales, Product, and Engineering to drive adoption of the Lovable AI-native software creation platform.
This role involves managing and improving the reliability of high-performance datacenter network infrastructure supporting AI workloads. The engineer will use Golang, Python, or Rust to build automation and telemetry tools while leading incident response and network optimization efforts.
The Principal Architect will lead the technical strategy and architecture for Niantic Spatial's product platform, ensuring cohesive design across cloud services, SDKs, and mobile applications. This hands-on role involves prototyping, coding, and mentoring senior engineers to advance the company's spatial intelligence and mapping technology.
MeritFirst is building an infrastructure platform to evaluate candidate ability through objective assessments rather than pedigree. Software engineers will work across the full stack to build assessment engines, employer workflows, and evaluation systems while leveraging AI to improve hiring outcomes.
The Lead GenAI/AI-ML SME will lead the architecture and development of agentic AI solutions for network operations and anomaly detection. The role requires expertise in Python, LangChain/LangGraph, and vector databases to build multi-agent systems for incident triage.
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