Own quality for Nexxa's AI agents: build eval harnesses, simulators, and CI/CD quality gates.
Perform manual and exploratory testing, trace reviews, red-teaming, and release verification.
Define metrics and datasets, mentor engineers, and champion testability for LLM-driven products.
Nexxa.AI builds AI systems for heavy industry, enabling autonomous operations across manufacturing, logistics, and infrastructure. The team values innovation, discipline, and continuous improvement, with strong growth opportunities.
North America
Unlimited PTO
18w maternity
12w paternity
Build automation platforms for package creation, test generation, and image building.
Develop AI-powered, LLM-integrated tooling for manifest generation and validation.
Write production Go code for CLI tools, services, and integrations.
Chainguard delivers hardened, secure, and production-ready builds of open source software that organizations rely on. The company is venture-backed by leading investors and serves Fortune 500 enterprises and global industry leaders, with a team founded by industry experts in open source, security, and cloud native development.
Develop and execute end-to-end automated test coverage for GenAI features using Python and test automation frameworks.
Implement testing strategies for LLM-powered applications, including conversational AI, agentic systems, and prompt testing.
Support evaluation frameworks, adversarial testing, and CI/CD integration to ensure AI reliability, accuracy, and safety.
Anaplan provides an AI-infused scenario planning and analysis platform that helps businesses optimize decision-making. With over 2,400 global customers including Fortune 50 companies, Anaplan fosters a Winning Culture focused on innovation, diversity, and inclusion.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
Build and deploy AI agents and automated workflows that marketing teams use daily.
Automate campaign development in Braze, from template-driven generation to pre-send QA.
Write evaluation suites that measure agent output for brand voice and factual grounding.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, including GOAT, Flight Club, Grailed, and alias. With over 60 million members across 170 countries, the company is a global leader in resale and is backed by leading investors.
Set the technical direction for AI-enabled workflow automation across build, CI, test, and release.
Build the shared foundation including agent harness and tool integrations into GitLab, Jira, and observability data.
Develop evaluation methodology to measure automation effectiveness and define guardrails for AI autonomy.
d-Matrix pioneers a memory-centric architecture for AI inference, making AI faster and more energy efficient. The culture emphasizes respect, collaboration, and direct communication, with a focus on execution and tackling hard problems.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Direct the agent array on production workstreams by decomposing problems into tasks and integrating agent output into shipped software.
Review agent-generated pull requests at volume and depth, identifying correctness, security, and accessibility defects.
Author evaluation suites that make quality measurable using eval-driven development and own end-to-end quality within a FedRAMP-authorized environment.
Granicus provides cloud-based solutions for government communications, website design, meeting management, and records management, serving over 5,500 agencies and 300 million citizens. With a globally distributed team and a culture of transparency and inclusion, Granicus has been recognized on the GovTech 100 list for the past 5 years.
Set technical direction and own architecture for AI-powered developer tools and the self-service platform.
Design and build production AI agents, LLM integrations, and platform infrastructure for developer productivity.
Mentor engineers, lead design reviews, and drive cross-team technical delivery across Docker.
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 focused on AI-native software development and platform engineering.
Design, build, and operate production AI agents for developer productivity, from code review to incident response.
Build self-service platform infrastructure enabling teams to prototype, deploy, and scale their own AI developer tools.
Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable, loved developer tools.
Docker is a developer tooling company trusted by over 20 million monthly users for building, sharing, and running applications. We are a globally distributed, remote-first team building AI-powered tools that shape how software gets built and delivered.
Own the context layer: manage what Mimo knows, when, and at what cost, with retrieval and memory as one budget.
Define tool contracts and build evaluation practice: schemas, results, failure modes, and regression gates for every change.
Shape how Mimo reasons, asks, explains, and recovers, and decide which model runs where.
MimoLabs builds Mimo, an agentic system for making physical things, from design to production across 3D printing, CNC, and laser cutting. We are a small, VC-funded, experienced team based in Detroit and remote across the US, fast, adaptable, and honest.
Design and build agentic AI systems behind Velona, including LLM-orchestration loops and autonomous agents.
Develop high-scale backend services in Go, with Python and JavaScript, for performance and reliability.
Build tools and agents that execute analytical reasoning over fleet data with multi-tenant isolation.
SOFICO Intelligence applies advanced AI to extract value from back-office systems, building agentic AI that reasons over financial and fleet data. The company is backed by SOFICO and operates as a remote-first team of curious, self-directed people who like to build and ship.
Own quality end to end across Decile Hub and Start Fund, catching issues before they reach fund managers or LPs.
Build and maintain AI agents that run regression tests, explore features, and automatically flag risks.
Partner with engineering, product, and customer success to turn customer insights into test cases and release checks.
At Decile Group, we're transforming venture capital into a force for good with an integrated platform spanning education, software, and fund operations. We're working to launch 10,000 next-generation venture capital firms by 2030, and we build with a proactive, agentic team that owns quality end to end.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Lead quality engineering and AI testing initiatives for reliable, scalable, and secure cloud-based software.
Design automated test suites for Java-based backend services, REST APIs, and AI-powered features including LLM validation.
Integrate testing into CI/CD pipelines and conduct AI security testing including prompt injection and adversarial validation.
The company develops cloud-based software solutions for complex risk and decision-making environments, hosted on AWS and Azure. It fosters an inclusive culture that values curiosity, diverse perspectives, integrity, innovation, and continuous learning.
Set technical direction for production agent systems, including orchestration, tool use, memory management, and failure recovery.
Build and operate shared foundations: evaluation frameworks, observability, execution controls, and model access with routing and failover.
Work with security and platform teams to ensure scoped permissions, data isolation, audit trails, and safe execution of tools and code.
Cobalt runs AI agents in production that test real customer applications, operating at the forefront of the pentesting industry. The company is rapidly expanding, offering a collaborative culture with mentorship, competitive compensation, and a focus on growth.
Design and deploy AI agents that automate sales, operations, and support workflows.
Own technical delivery end-to-end, from architecture to production and post-launch improvements.
Work directly with clients to understand workflows and explain technical tradeoffs.
Stello is an AI transformation firm that partners with mid-market and enterprise companies to automate repetitive work with AI agents. They work across sales, operations, and customer support, deploying solutions inside existing client tools.
Build scalable quality strategies and automated regression infrastructure for AI-assisted software transformation workflows.
Diagnose complex failures across C/C++, Rust, Python, build systems, and heterogeneous target environments.
Lead quality engineering practices, mentor engineers, and partner with Engineering, Research, and Solutions on release evidence.
Code Metal automates software engineering, using formal methods to verify AI-written code, with customers like the U.S. Air Force, RTX, and Toshiba. Founded in 2023, the Boston/SF startup is backed by Accel and Salesforce Ventures.