Develop and maintain AI-powered applications using Python and generative AI models, including LLMs and prompt engineering.
Integrate AI services like OpenAI or Azure OpenAI into workflows and support cloud infrastructure on AWS, Azure, or Google Cloud.
Contribute to monitoring and observability using tools like Datadog, Grafana, and Splunk, while assisting with automation and containerized environments.
This position is listed on behalf of a partner company, which manages all applications and next steps. The company is looking for a Gen AI Specialist based in the United States, offering a fully remote work opportunity with flexibility and autonomy.
Lead multi-quarter technical initiatives on Tempo, including trace aggregation APIs and autoscaling.
Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation.
Drive operational excellence through SLOs, automation, and incident response.
Grafana Labs is the company behind the open observability cloud, Grafana Cloud, a fully managed observability platform built on open source principles. With over 1,600 team members across 40+ countries, the company fosters a global collaborative culture and is backed by leading investors.
Design, build, and deliver backend systems and APIs in Go with clarity and backward compatibility.
Build and maintain full-stack product features using React/TypeScript and Go.
Provide technical leadership, collaborate across disciplines, and support software in production.
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do. We've scaled past the 200-person mark, were named to Forbes' America's Best Startups of 2022 and 2023, and are a fully distributed company with a culture of trust, autonomy, and accountability.
Design and evolve backend platforms that collect, process, and deliver high-quality product usage data across complex environments.
Drive architecture decisions, improve system reliability, and help shape engineering best practices.
Mentor fellow engineers while contributing to scalable, privacy-conscious solutions.
This is a position listed on behalf of a partner company, which manages all applications and next steps. The hiring company is focused on building next-generation analytics instrumentation infrastructure that enables data-driven product decisions at scale.
Design, build, and evolve mobile experiences across Spotify’s most visible consumer surfaces.
Contribute to the architecture and development of reusable mobile foundations and platform capabilities.
Collaborate with engineers, product managers, designers, and platform teams to shape product direction and technical strategy.
Spotify is a digital music service that gives you access to millions of songs. They are a large global company focused on inclusivity and innovation, with an engineering culture that values collaboration and learning.
Design, develop, and maintain core platform systems that support the Docker Desktop lifecycle.
Build and evolve shared components like settings, feature flags, and internal platform services.
Improve system reliability, performance, and observability through telemetry and diagnostics.
Docker provides developer tools for building, sharing, and running applications, trusted by over 20 million monthly users. They are a globally distributed, remote-first team with offices in Seattle and Paris.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Own developer feedback loops including CI/CD, testing, dependency management, and tooling to ship faster and more safely.
Lead AI-partnered development for the next chapter of AI-assisted engineering and how observability plays into it.
Prove ROI by defining and tracking developer-productivity and satisfaction metrics for leadership confidence.
Honeycomb is a service for observability in developer tools, working with companies like HelloFresh and Slack. They have closed Series D funding, scaled past 200 employees, and were named to Forbes' America's Best Startups in 2022 and 2023.
Harden, simplify, and operationalize the production platform on Google Cloud Platform for enterprise customers.
Own and evolve core infrastructure, CI/CD pipelines, and infrastructure as code practices using Terraform or Pulumi.
Drive observability, developer productivity, and engineering culture to raise the bar across the team.
GC AI is the fastest-growing legal AI platform for in-house legal teams, building the future of legal work. With over 1,700 companies using the platform, including 150+ public companies and 25+ unicorns, the team has 10x'd revenue in 12 months and raised a $60 million Series B.
Own availability, latency, and throughput SLOs across a large fleet of generative media model APIs serving production traffic at scale.
Build monitoring, alerting, and observability to catch ML-specific failures, output quality degradation, and model regressions before customers do.
Harden model deployment workflows with canary releases, shadow testing, automated rollbacks, and validation gates to ship new model versions safely.
Fal is the generative media ecosystem powering the next generation of AI products, providing infrastructure, tools, and model access for developers and enterprises. As a unified platform for high-performance inference, orchestration, and observability, fal is becoming the ecosystem ambitious teams build on in a market projected to grow by hundreds of billions over the next decade.