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Build and extend Kaluza’s energy-intelligence platform using TypeScript and AWS Serverless, integrating AI features and collaborating with cross-functional teams to deliver scalable, real-time energy solutions.
Leads enterprise Data & AI architecture and client engagements, designing scalable cloud-based solutions and integrating AI tools to improve engineering workflows and business outcomes.
AI Software Engineer in Test who uses AI tools to accelerate test automation, build/maintain test frameworks across web, mobile, API, and data platforms, and validate AI/GenAI outputs — primarily using Selenium, Playwright, Cypress, REST Assured, JUnit, TestNG, PyTest, CI/CD tools, and SQL at a fintech point-of-sale lending company.
Owner Inspections is seeking a full-stack developer to build and maintain their internal CRM and field service software using a TypeScript monorepo. The role involves end-to-end feature development, including AI integration, database management, and third-party API orchestration, working onsite in Manly.
Senior full-stack engineer building end-to-end features on a grant-funding SaaS platform (AntragPlus), working across TypeScript/Node.js, Next.js, Postgres, AWS infrastructure, and production AI pipelines using LLM providers like AWS Bedrock, Anthropic, and OpenAI.
Solutions Engineer Intern working with large datasets in Python, Pandas, and SQL to build integrations and user-centric solutions on the Partly Platform for automotive repair supply chain customers.
Develops and extends an AI agent harness for trading infrastructure, integrating data sources, orchestrating workflows, and ensuring secure, isolated execution across Slack, Postgres, and Kubernetes.
Build and maintain enterprise-grade NextJS applications, working in a fully remote team that values testing, code reviews, and open-source principles.
Full-stack developer building enterprise-grade apps with Python and Next.js, working remotely from Brazil for a US-based AWS consulting partner.
Metal Toad is a strategic AI partner. We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities. We are an AWS, Anthropic,…
Maintains AWS-based cloud infrastructure for enterprise clients, focusing on high-availability systems, automation, and 24/7 support with Linux, scripting, and networking expertise.
Metal Toad is seeking a DevOps/Cloud Engineer to design, maintain, and monitor scalable infrastructure for enterprise-grade applications. The role requires extensive AWS experience and strong scripting skills to support AI-focused projects in a fully remote environment.
The Data Infrastructure Engineer will architect and deploy open-source data platforms like Trino, Spark, and Pinot on Amazon EKS. This hands-on role involves managing infrastructure as code to deliver high-performance, scalable data solutions for complex customer environments.
Design, build, deploy, and optimize AI-powered applications (agents, assistants, automations) across a healthcare technology company using Python, LLM platforms like OpenAI/Anthropic, RAG, and cloud infrastructure.
AI Software Engineer building production AI-enabled applications, integrating LLMs (OpenAI, Anthropic) into enterprise software using Python, C#/.NET, and Azure/AWS cloud infrastructure.
Build end-to-end AI product features for a SaaS platform, integrating LLMs and AI agents using Python/TypeScript, React, and cloud services like Azure/AWS.
Lead Python data engineering for Citi's credit risk platforms—designing microservices, containerized deployments, and AI/GenAI-enabled workflows at scale within a global bank.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
A senior engineer embedded with Databricks’ strategic customers to design and build custom full-stack applications on the Databricks platform, blending data engineering, AI, and application development for enterprise clients.
Principal Data & AI Solution Architect designs end-to-end AI and data solutions for enterprises, translating business needs into scalable architectures using cloud platforms like Azure and Databricks.
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