Own and resolve complex L4 support escalations, conducting root cause analysis and collaborating with Engineering and Product teams.
Create and maintain technical documentation, troubleshooting guides, and self-service resources to improve support efficiency.
Analyze support trends and translate findings into actionable recommendations for product quality and customer experience.
They are a global remote-first technology company focused on delivering exceptional customer experiences and scalable solutions. They foster a collaborative environment that values ownership, continuous learning, and innovation.
Bridge business needs and AI engineering to deliver production-ready solutions for enterprise customers.
Partner with cross-functional teams to identify high-value opportunities and turn them into scalable deployments.
Take complex workflows from discovery and prototyping through production adoption and optimization.
The company is a technology firm specializing in AI-powered enterprise solutions. It fosters a collaborative culture focused on innovation and continuous learning, with a team of professionals dedicated to driving customer success.
Own the hardest customer production problems end to end, from tracing and reproducing to fixing or escalating with a clean reproduction.
Debug AI agents and prompts to diagnose and fix misfires, then build automation so the issue never recurs.
Close the loop to Product by surfacing patterns and metrics from customer issues to drive product improvements.
Siena is the Agent of Record for consumer brands, providing a single agent that owns the entire customer journey across multiple surfaces. They are a small, fully distributed, global team with low ego, high standards, and a fast clock.
Participate in customer and sales meetings to explain technical capabilities and develop proof-of-concept solutions.
Troubleshoot and resolve complex customer issues through code analysis, scripting, and log analysis.
Collaborate with internal teams across engineering, sales, and product to improve platform and customer experience.
The company specializes in AI infrastructure and cloud environments, helping customers adopt and scale AI workloads. It is a remote-first, collaborative organization with a fast-growing team that values ownership and quick execution.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
Design and build production AI agent systems for diagnosing and remediating infrastructure issues in large-scale GPU environments.
Develop distributed services, orchestration frameworks, knowledge graphs, and retrieval systems to power AI agents.
Own services end-to-end from architecture through production, collaborating with infrastructure and engineering teams.
The company builds AI agents that operate and automate large-scale GPU infrastructure. The engineering team is highly collaborative and remote, fostering ownership and autonomy.
Own the health and reliability of deployed agentic AI systems in production.
Diagnose and resolve complex issues spanning AI behavior, workflow orchestration, and integrations.
Communicate clearly during incidents and drive feedback loops to engineering for systemic improvements.
Ema builds the world's leading Agentic AI platform to automate enterprise workflows. Founded by former executives from Google and Coinbase, the team includes engineers from top tech companies and premier universities, backed by leading investors.
Provide technical support and troubleshooting for customers using RelationalAI's platform, ensuring a great customer experience.
Collaborate with Sales, Field Engineering, and Product Engineering to resolve customer issues and improve the product.
Leverage AI agents and technical skills (Python, SQL, database technologies) to accelerate troubleshooting and optimize customer code.
RelationalAI solves one of the most important challenges in AI: teaching large language models the logic, semantics, and business context of the modern enterprise. They are a globally distributed team of engineers, scientists, and builders who value transparency, inclusivity, curiosity, and impact.
Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements.
Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
Work as a Forward Deployment Engineer with customers, users, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
The company is a partner organization focused on AI and Generative AI solutions. Employee count and culture are not specified.
Design and build technical interview questions, including coding exercises, debugging challenges, and real-world engineering scenarios.
Write and test interview content across multiple programming languages, check solutions for correctness, and use AI-assisted tools to speed up creation.
Conduct peer reviews, update content based on performance data, and partner with Content Architecture to improve processes.
Karat is the world's largest interviewing company, providing a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi. They are a growing, remote-first team that values inclusivity and diversity, and they are committed to preventing barriers to success.
Work closely with pre and post-sales teams to develop solutions on the core platform using TypeScript, JavaScript, Python.
Integrate DevRev with customer SaaS and non-SaaS systems via APIs, webhooks, and real-time communication.
Build and deploy AI agents, automations, and dashboards to optimize performance and drive customer decision-making.
DevRev builds an AI teammate platform called Computer that unifies data sources and workflows into a single AI-ready platform. Backed by Khosla Ventures and Mayfield with over $150M raised, the company is trusted by global companies across industries.
Lead the design and delivery of high-impact prototypes and production-ready solutions using AI and emerging technologies.
Mentor engineers and establish strong engineering practices to raise technical standards across the team.
Communicate complex technical decisions to executive stakeholders and drive cross-functional collaboration.
This company operates in an emerging technologies and incubation environment focused on building what comes next. They have a globally distributed team and emphasize innovation, autonomy, and mentorship.
Build full-stack features across React, React Native, and Node.js, including AI chat UI and workflows.
Design and implement AI systems such as tool-using agents, RAG, and human-in-the-loop flows.
Ensure system reliability, scalability, and performance while mentoring team members.
WorkHero is building the AI-powered back office for the skilled trades, starting with the HVAC industry. They are a small, senior team with deep experience in AI, product, and the trades.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Evaluate AI-generated customer support materials against quality rubrics.
Review documents, spreadsheets, and presentations for accuracy and consistency.
Provide structured feedback to improve AI system performance.
The company is a partner firm specializing in AI system development and evaluation. It operates remotely with a focus on professional expertise and flexible contract work.
Transcribe, tag, and annotate conversational data to train AI models.
Monitor and analyze conversational system performance to identify patterns and errors.
Collaborate with product and machine learning teams to improve data quality and workflows.
Jobgether uses AI-powered matching to review applications for partner companies. They are a recruitment platform that processes candidate data and shares shortlists with hiring employers.
End-to-end ownership across frontend, backend, and infrastructure as the first in-house engineer for an AI-native PSA platform.
Harden, scale, and evolve the existing platform while shipping customer-facing improvements.
Work solo as a senior/staff-level generalist with high ambiguity and close founder collaboration.
Smart Working connects skilled professionals with outstanding global teams for full-time, long-term remote roles. They are a high-rated workplace on Glassdoor with a remote-first culture that values growth and well-being.
Enter unfamiliar client codebases and environments and quickly build an accurate picture of the system and the problem.
Clarify ambiguous requests directly with client stakeholders before, and while, building solutions.
Design and build solutions across the technical boundaries the engagement requires, rather than staying inside a single layer of the stack.
AgilityIO is a software development firm that designs and builds custom applications for startups and Fortune 500 companies. With a global team of over 400 developers, QA engineers, project managers, and UX/UI designers, the company values autonomy and ownership.
Work closely with customers to integrate and optimize our AI platform from onboarding to ongoing usage.
Build new features, MVPs, and scalable solutions across the full stack using React, TypeScript, Node.js, and Python.
Design, implement, and iterate on AI/ML solutions, including LLM prompting and third-party API integrations.
HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. We are a Y Combinator-backed startup with over $150M raised, operating as a team of builders with no hierarchy.
Lead the development of the AI-powered product suite for clinicians and patient/provider growth.
Own the AI codebase as the most senior engineer, building alongside offshore engineers and growing the team.
Work across product, engineering, and clinical teams to deliver personalized care.
Allswell is building the leading mental health company for the LGBTQ+ community, providing affirming, high-quality care. Backed by leading healthcare and impact investors, the company has served hundreds of clients and reports strong clinical outcomes.