Top Remote Jobs

Architect and build a multi-cloud ML training platform for decentralized large-model training and inference across consumer devices and cloud instances. Responsibilities include infrastructure orchestration, distributed compute, GPU workloads, checkpointing, data streaming, network-condition simulation, node-churn management, observability, reliability, and resilient job execution. The role requires strong Python, infrastructure-as-code, Kubernetes, distributed systems, decentralized networking, and SRE experience.

Design, develop, and deploy production AI/ML systems involving foundation models, agentic workflows, RAG, multimodal learning, model evaluation, and edge inference. Build data pipelines, cloud architectures, APIs, and software integrations while applying AI assurance practices. Lead technical tasks, mentor junior staff, collaborate with customers and cross-functional teams, contribute to Agile delivery, and support advanced government and commercial R&D proposals.

Conduct continuous manual penetration testing across network, web application, cloud, and social engineering attack surfaces. Pursue findings through post-exploitation, lateral movement, privilege escalation, and business-impact validation. Communicate results to technical and non-technical clients, lead debriefs, improve team tooling, direct AI and automation, mentor junior testers, and collaborate with R&D to operationalize repeatable techniques.

Build and operate production AI and LLM systems for safety-critical enterprise applications. Responsibilities include multi-step agent orchestration, retrieval across Neo4j and vector stores, evaluation frameworks, model comparison, observability, quality monitoring, failure handling, and production incident response. The role requires strong Python and experience with asynchronous services, LLM workflows, evaluation, retrieval, graph reasoning, and enterprise AI security. It also contributes to model selection, technical direction, and the AI roadmap.

Owns high-visibility, cross-functional finance programs spanning quote-to-cash, systems implementations, data infrastructure, planning, M&A integration, and IPO readiness. The role translates between finance and business teams, drives programs to completion without direct authority, designs scalable processes and controls, and advances AI and automation across finance operations.

Build and maintain scalable .NET applications across web, desktop, console, and mobile platforms while developing AI capabilities on Azure. Responsibilities include creating RAG solutions, LLM agents, MCP integrations, AI evaluation harnesses, guardrails, and secure application integrations. The role also supports databases, automated testing, DevOps practices, and third-party APIs. The engineer will mentor developers on GitHub Copilot, Claude, AI coding practices, and responsible review of AI-generated code.

Build and ship end-to-end full-stack features for a cloud-native cybersecurity SaaS platform. Use AI coding agents to generate specifications and code, then review outputs for correctness, security, and architectural fit. Develop agentic workflows, automation pipelines, APIs, data models, and microservices on public cloud infrastructure. Collaborate with distributed teams and security researchers to convert vulnerability intelligence into secure platform capabilities.

Build and operate production AI agents, including autonomous coding systems, retrieval and knowledge layers, MCP tooling, evaluation frameworks, and secure LLM workflows. Improve model cost, latency, reliability, and observability on AWS Bedrock while integrating Snowflake, documentation, knowledge graphs, Jira, Slack, and developer workflows. Responsibilities include prompt and model evaluation, security hardening, design documentation, code review, mentoring, and on-call ownership.

Join Impact Scale’s ongoing talent network for potential future opportunities in growth and strategy, creative production, or technology and engineering. The company seeks affiliate managers, media buyers, campaign managers, video editors, content creators, back-end developers, and software engineers. This is a talent pipeline rather than an application for a specific immediate opening.

Own positioning, product launches, and sales enablement for treasury workflow products targeting mid-market finance teams. The role requires B2B SaaS messaging, product launch experience, analyst relations, and content strategy expertise.