Currently tracking 9 active AI roles, up 22% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Enterprise · Cloud IDE
Replit has 18 active AI-related job listings, with a strong emphasis on the "agents" stage, which accounts for 94% of these roles. The majority of these positions are in Engineering. The company is primarily hiring in the United States. Replit's AI hiring shows a recent trend of a significant decrease in new roles over the last 30 days.
Replit currently has 25 active AI-related roles in our index. The most common open titles are: Field Engineer (2), Data Scientist , Data Scientist, People, Data Scientist, Product, Engineering Manager, Anti-Abuse & Security. Most positions are in Engineering and Product.
Replit's active AI hiring is concentrated in: agents (96%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Replit is hiring AI talent in: United States (24 roles), United Kingdom (1 role).
Job postings at Replit most frequently reference: agent orchestration, guardrails, llm observability, fine tuning, model serving.
In the past 30 days, Replit has posted 8 new AI-related roles. That is a +33% change versus the prior 30 days (6 → 8).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, Risk Staff Software Engineer, Risk at Replit, focusing on building AI-powered detection systems and LLM guardrails to defend the platform from exploitation by malicious actors. This role involves applying AI to security problems in a production environment, detecting and preventing various abuse scenarios like phishing, cryptomining, and prompt injection. | Agent | 8 |
| Senior Software Engineer, Fraud Senior Software Engineer role focused on fraud detection and platform defense using AI/ML, specifically LLMs, to combat abuse like phishing, cryptomining, and prompt injection. The role involves designing and implementing LLM guardrails, building AI-powered detection systems, and owning the end-to-end abuse response lifecycle in a production environment with real attackers. | Agent | 8 |
| Senior Software Engineer, Risk Senior Software Engineer on the Risk team at Replit, focusing on defending the platform from exploitation using AI and LLMs. The role involves designing and implementing LLM guardrails, building AI-powered detection systems for various abuse scenarios (phishing, cryptomining, LLM token farming), and automating responses. This is adversarial work requiring adaptation to evolving attack patterns, with a focus on production systems and end-to-end ownership. | Agent | 8 |
| Staff Software Engineer, Fraud Staff Software Engineer on the Fraud team at Replit, focusing on building AI-powered detection systems and LLM guardrails to combat platform abuse, including phishing, cryptomining, LLM token farming, and prompt injection attacks. The role involves end-to-end ownership from identifying abuse patterns to shipping scalable detection and response systems, utilizing LLMs as a defensive tool in an adversarial environment. | Agent | 7 |
| Staff Software Engineer, Trust & Safety Staff Software Engineer on the Trust & Safety team at Replit, focusing on building AI-powered detection systems and guardrails to protect the platform from abuse, including LLM-specific threats like prompt injection and AI-generated code abuse. The role involves end-to-end ownership of abuse response, from detection to enforcement, using LLMs and data analysis. | Agent | 7 |
| Senior Software Engineer, Trust & Safety Senior Software Engineer for Replit's Trust & Safety team, focusing on defending the AI-native platform from exploitation. The role involves building AI-powered detection systems, LLM guardrails for AI-generated code and agent interactions, and automated response mechanisms to combat abuse like phishing, cryptomining, and prompt injection. This is an adversarial role requiring end-to-end ownership from detection to shipping systems at scale. | Agent | 7 |
| Engineering Manager, Anti-Abuse & Security Engineering Manager to build and lead Replit's Anti-Abuse team. This role involves defining the anti-abuse roadmap, hiring engineers and data analysts, and shipping systems to protect the platform from adversarial actors, including AI-native abuse and AI agents. The manager will design identity infrastructure, prototype detections using AI coding tools, define metrics, and operate cross-functionally to make abuse economically unviable. | Agent | 7 |
| Data Scientist, People This role focuses on building AI and LLM-powered systems for internal HR and talent decisions, including compensation, hiring, and workforce planning. It involves developing predictive models, AI agents for decision support, and analytical frameworks to improve talent management at scale within an AI-native company. | Agent | 7 |
| Staff Software Engineer, Anti-Abuse & Security Staff Software Engineer focused on Anti-Abuse and Security for an AI-native platform. The role involves designing and implementing LLM guardrails, building AI-powered detection systems, and automating responses to various abuse scenarios like phishing, cryptomining, and LLM token farming. This is adversarial work requiring hands-on application of AI to security problems in production. | Agent | 7 |
| Staff Software Engineer, Agent Platform Staff Software Engineer to build and enhance Replit's agent platform, focusing on backend services, collaborative AI-human systems, and developer tooling for rapid iteration on agent experiences. | Agent | 7 |
| Senior Product Engineer, Product Foundry Replit is seeking a Senior Product Engineer for their Product Foundry team to build innovative, agentic software creation platforms. The role involves leading 0->1 initiatives, developing AI agents that can build, test, and interact with other services, and contributing to the company's goal of making AI agents the primary actors in software creation. This is a high-impact role focused on building new product categories and scaling the platform. | Agent | 7 |
| Offensive Security Engineer Seeking a senior Offensive Security Engineer to act as an "adversary-in-residence" for Replit's cloud-native platform. This role involves leading whitebox penetration testing, simulating adversarial attacks on AI-integrated systems, and building offensive tooling, including AI-assisted tools. The focus is on ensuring the security of Replit's AI-enabled development environment. | Agent | 7 |
| Senior Software Engineer, Agent Platform Senior Software Engineer role focused on building the Agent Platform at Replit, a consumer-facing agentic software creation platform. The role involves developing backend services, collaborative systems for human-AI interaction, and infrastructure to support rapid iteration on the Agent experience. It bridges the gap between core AI logic and user experience. | Agent | 7 |
| Senior Software Engineer, Anti-Abuse & Security Senior Software Engineer focused on Anti-Abuse and Security for an AI-native platform. The role involves designing and implementing LLM guardrails, building AI-powered detection systems, and automating responses to various abuse scenarios like phishing, cryptomining, and prompt injection. It requires strong programming skills, SQL, and experience with ML/LLM classifiers for security. | Agent | 7 |
| Field Engineer Enterprise/Strategic Field Engineer for Replit, a company focused on agentic software creation. This hybrid role involves high-impact pre-sales (technical evaluations, live building, governance) and post-sales (adoption, expansion, retention) for large strategic accounts. The engineer will own the end-to-end technical relationship, driving adoption and ensuring customers become Replit-powered. | Agent | 7 |