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Build and own Anduril’s internal LLM agent framework, integrating backend infrastructure, agent architecture, and evaluation tooling for mission-critical defense applications.
Build infrastructure-as-software systems that provision, manage, and self-heal GPU inference clusters at Together AI, using Go/Python/Rust, workflow orchestration (Temporal/Cadence), event-driven architecture (Kafka/NATS), and Kubernetes-style reconciliation loops.
About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the…
Build and operate the MLOps platform for AI models that power a next-gen micromanufacturing compiler, handling training, deployment, serving, monitoring, and feedback loops.
Build and deploy production AI systems for customers by designing end-to-end workflows, integrating AI infrastructure, and collaborating with engineering/product teams using Python, Go, React, and cloud-native tools.
Build backend infrastructure for AI agent orchestration, workflow management, and tool execution to enable production-ready agentic applications.
Build backend systems for AI agent orchestration, distributed training, and experiment management using Go/Python/Rust, enabling scalable AI development workflows.
Senior DevOps engineer builds and maintains cloud-native data platforms on AWS/Azure for enterprise clients, using IaC, CI/CD, and automation to ensure reliability and scalability.
Join Continental's Digital Solutions Department as an MLOps Engineer. In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As an…
Summary of the Role: As Product Engineer (Full Stack) at Maze, you'll be the technical force behind our customer-facing product experience, owning the complete stack from UI to API while moving at startup velocity.…
Introduction to the Role We are looking for a Data Engineer (Life Sciences/Biomedical domain) with strong expertise in PySpark, Databricks, and SQL . The role involves building scalable data pipelines, integrating…
Introduction to the Role We are seeking an experienced Data Architect with 10–18 years of expertise in data architecture, engineering, and analytics. The role demands deep knowledge of modern data platforms, cloud…
We are looking for a AI&ML Engineer to join our team and help design, build, deploy, and optimize machine learning solutions at scale. In this role, you will be responsible for developing both classical machine…
Designs and maintains Python-based data pipelines in Airflow, Snowflake, and Databricks to move sports-betting and e-commerce data reliably from source to warehouse for analytics and decision-making.
Senior AI Engineer builds and deploys AI-driven tools and automations for Fanatics Collectibles' finance systems, partnering with finance teams to optimize workflows using LLMs, Python, and integrations with Oracle, Snowflake, and other platforms.
Designs and delivers scalable warehouse management and fulfillment systems, integrating Tier 1 WMS like Manhattan Active with event-driven microservices and cloud infrastructure to optimize supply chain operations.
Leads MLOps platform design and ML workflows for Oura’s health-tech products, focusing on scalable ML deployment, governance, and tooling (e.g., MLflow) to support data science teams across domains like sleep/activity tracking.
The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate…
Data Engineer in Ang Mo Kio, Singapore who re-platforms workflow-based integrations, builds ETL pipelines ingesting files into relational databases, and maintains cloud big data/Lakehouse pipelines. Core stack: workflow orchestration platforms, SQL/SQL Server, Python, Spark, and CI/CD for data workflows.
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, SQL, and AWS.
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