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.
Lead a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
Lead client-facing engineering and solutioning from pre-sales through early delivery for enterprise AI platforms.
Architect and implement AI stacks, agentic solutions, and cloud-native platforms using Python, GenAI, and LLMs.
Drive AIOps, observability, and mission-critical platform transformation programs for regulated industries.
Global technology consulting and digital solutions company that enables enterprises to reimagine operations and drive measurable business impact. Its Enterprise AI business unit focuses on scaled, production-grade AI adoption and agentic platforms.
Design, develop, and maintain scalable data and application services supporting AI-driven solutions
Build and maintain workflow orchestration, integration, and automation capabilities across enterprise platforms
Develop and optimize backend services, APIs, and microservices using modern cloud-native architectures
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, streaming, and theme parks. We are a subsidiary of Comcast Corporation and foster an inclusive culture with a diverse workforce.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
Architect end-to-end sheet data platform across transactional stores and lakehouse.
Design services and APIs for real-time collaboration and AI agents at scale.
Lead petabyte-scale migrations while setting architecture standards and mentoring engineers.
Smartsheet is a SaaS platform that helps teams manage work and increasingly coordinates human teams with AI agents. It has been operating for over 20 years and fosters a culture of innovation, inclusion, and professional growth.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven culture.
Design, build and maintain reliable data pipelines in Python on AWS.
Build and maintain backend services and APIs using Django and FastAPI.
Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support.
Smart Working connects skilled professionals with global teams for full-time remote roles, aiming to break down geographic barriers. It fosters a remote-first community focused on growth and well-being, and is rated highly on Glassdoor.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Design, build, and maintain infrastructure for training, fine-tuning, and serving large language models.
Deploy and scale LLM inference services, manage GPU compute, and optimize workload scheduling and utilization.
Automate deployment workflows with infrastructure-as-code and CI/CD, and collaborate with ML engineers to move models to production.
Hire Hangar connects top talent with vetted employers and offers competitive pay and real growth opportunities. It focuses on matching remote contractors with fast-growing global companies.
Own the most challenging customer technical problems with deep-dive troubleshooting and analysis.
Act as the customer's advocate to ensure their issues influence product and engineering roadmaps.
Author technical content and lead internal tooling development with a strong AI focus.
Wiz provides an AI-powered cloud and application security platform that connects code, cloud, and runtime. Trusted by over 65% of the Fortune 100, the company values world-class talent and fosters a creative, high-impact culture.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Design and implement backend services for licensing, entitlements, feature access, and usage limits across NodeZero's product and APIs.
Build and evolve provisioning, admin experience, MSP/MSSP capabilities, and audit logging for a multi-tenant SaaS platform.
Operate production services with monitoring, incident response, and a high bar for design quality and test coverage.
Horizon3 is a fast-growing, remote cybersecurity company that helps organizations proactively find, fix, and verify exploitable attack vectors through its NodeZero autonomous pentesting platform. The team is a fusion of former special operations cyber operators and startup engineers, fostering a culture of respect, collaboration, ownership, and results.
Architect, design, build, deploy, and maintain Model Serving infrastructure for a world-class Detection Engine.
Own projects that scale model serving and data processing to handle 10x traffic, including real-time streaming pipelines and online feature serving.
Collaborate with MLE and Data Science teams to build the ML Training platform, improving MLE velocity and model precision and recall.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform, and we foster a culture of innovation and impact.
Design and build scalable data pipelines on AWS using Python, PySpark, and Glue.
Develop AI agents and REST APIs using Amazon Bedrock and modern pro-code practices.
Work across the full engineering lifecycle from architecture to productionization.
This is a partner company hiring for a remote contract role through Jobgether. They focus on building production-grade AI, data engineering, and cloud solutions in a fast-moving environment.
Own and drive complex, multi-team programs across Reddit's infrastructure stack, including Compute, Storage, Messaging, and more.
Partner deeply with engineering teams as a technical peer to bring large-scale migrations and platform evolution efforts to completion.
Leverage AI and LLM-assisted tooling to automate reporting, improve cost anomaly detection, and enhance program management workflows.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information, powered by a flexible and inclusive workforce.
Take deep ownership of systems and product areas, becoming the go-to technical expert for what you own.
Architect, build, and maintain highly available, scalable REST APIs and backend services across distributed systems.
Build agentically with AI coding tools, staying at the forefront of emerging AI tooling and practices.
Postscript is an AI messaging platform for Shopify brands, helping e-commerce marketers drive revenue through SMS marketing and AI features. Backed by Greylock and Y Combinator, the company has been fully remote since 2018 and serves 20,000+ Shopify brands with a culture of ownership and AI-first development.
Own and evolve AWS infrastructure powering real-time AI voice and workflow automation systems.
Drive reliability, scalability, and operational rigor across the multi-agent runtime.
Mentor engineers and design secure, compliant platform foundations for rapid product expansion.
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry, starting with voice and expanding into workflow automation. The fast-growing startup has raised $72M, including a $50M Series B in October 2025.
Take deep ownership of key systems and product areas, becoming the technical expert and primary point of reference.
Architect, build, and maintain highly available and scalable REST APIs and backend services.
Use agentic development workflows and AI coding tools as standard engineering practice.
This partner company builds an AI-driven e-commerce messaging platform powered by customer context and data. It is a high-growth, remote-first environment with a collaborative and supportive culture.
Own end-to-end deployment of Tines' platform within complex enterprise environments.
Drive adoption across the organisation by training and supporting stakeholders at all levels.
Identify and develop new use cases to expand value of the platform.
Tines is the intelligent workflow company that powers some of the world's most important workflows. They are driven by values of Simplicity, Speed, and Soundness and foster a culture of curiosity, growth, and integrity.