Jobs at Scale AI

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Own Air Force territory strategy, pipeline, bookings, and multi-year account growth. Develop executive relationships, secure programmed funding, convert prototypes into deployed capabilities, and lead renewals and expansions. Draft white papers and OTA responses, structure complex deals, navigate defense acquisition, coordinate with systems integrators and primes, and translate mission needs into agentic AI solutions. Collaborate with delivery, technical, product, capture, and partner teams while maintaining customer health and commercial accountability.

Own Navy territory strategy and bookings, building qualified pipelines and converting AI prototypes into funded, multi-year deployments. Develop executive relationships across Navy organizations, program offices, fleets, primes, and systems integrators. Lead white papers, OTA responses, proposals, deal structures, teaming agreements, renewals, and expansions. Translate mission needs into agentic AI solutions with technical teams and navigate defense acquisition, budgeting, and production pathways.

Leads engineering teams delivering full-stack AI applications for Kuwait government clients. Responsibilities include designing ML and LLM solutions, building data pipelines and API integrations, managing product delivery, engaging government stakeholders, presenting technical concepts, and mentoring engineers. The role requires hands-on AI/ML engineering, engineering leadership, client-facing communication, and experience translating government requirements into scalable production systems.

Own the AI behavior of production systems for public-sector clients, including agents, model integration, backend services, evaluations, reliability, and observability. Lead root-cause analysis, optimize and adapt models, design client-specific evaluations, manage workstream delivery, communicate with clients, codify reusable tooling, and mentor engineers.

Lead AI policy development, regulatory engagement, government relations, and external advocacy in the US and globally. Develop policy positions, respond to rulemakings, advise executives, monitor regulatory changes, build stakeholder relationships, and represent the company with governments, trade associations, standards organizations, and think tanks. Collaborate cross-functionally and advance AI policy research and thought leadership.

Build and maintain full-stack AI applications for public sector clients. Responsibilities include developing responsive React interfaces and backend APIs, integrating AI models, deploying and monitoring applications in cloud environments, supporting application stability and security, incorporating client feedback, and creating reusable features for international use cases. The role collaborates with senior engineers and multidisciplinary teams across design, product, and data.

Conduct technical AI safety and alignment research by designing control protocols, monitoring systems, evaluations, threat models, tools, and datasets for frontier AI systems. Investigate deception, sabotage, reward hacking, multi-agent risks, monitorability, and recursive self-improvement. Build ML pipelines and evaluation harnesses, run experiments, collaborate with industry, government, and academia, and publish findings and policy-oriented technical reports.

Grow Scale’s public-sector business in Kuwait by developing go-to-market strategy, identifying and shaping AI opportunities, building relationships with government decision-makers, and closing complex deals. Responsibilities include AI advisory, customer communications, relationship management, financial modeling, proposals, executive presentations, workshops, demos, and measuring solution impact. The role requires close collaboration with leadership, product, marketing, legal, finance, operations, and compliance teams.

Build and manage government and research-institution relationships in Kuwait, identify high-value custom LLM applications, advise clients on AI use cases, oversee delivery timelines, manage client health, and coordinate with business development, product, engineering, and operations teams. Support Arabic LLM initiatives and AI education partnerships while driving structured problem-solving, operational improvement, and long-term stakeholder engagement.

Build and deploy production-grade full-stack AI applications for public sector clients. Partner directly with customers to scope requirements, gather feedback, architect solutions, integrate AI models, develop UIs and APIs, and manage cloud infrastructure. Contribute reusable platform features while ensuring security, scalability, reliability, and effective cross-functional collaboration. The role requires spending up to two weeks per month in client offices.

Build, test, and deliver production AI components, including model integrations, agent tools, APIs, data pipelines, and evaluations. Investigate model failures and regressions, debug production issues, and work directly with public-sector clients on requirements and feedback. The role requires production software development, AI/ML integration, evaluation expertise, ownership of scoped deliveries, and strong communication.

Own revenue recognition and ensure ASC 606 compliance, review contracts, support month-end close, analyze complex transactions, maintain accounting policies, assess new standards, collaborate cross-functionally, improve processes, and support external audits. The role requires strong U.S. GAAP expertise, technical accounting research skills, and the ability to translate complex guidance into practical solutions.

Own the end-to-end development of custom AI applications for government and government-backed customers across the Middle East. Lead client workshops, define use cases and roadmaps, build MVPs, coordinate engineering and machine learning teams, evaluate model performance, gather user feedback, and communicate progress to clients and leadership.

Lead the architecture and implementation of AI-assisted developer tooling, local development workflows, build and test systems, CI/CD platforms, and deployment processes. Mentor software engineers, establish engineering best practices and governance, configure AI agents and MCP servers, improve development tools and languages, and communicate technical guidance to stakeholders.

Lead complex AI engineering engagements from client discovery through production. Build prototypes involving AI agents, RAG systems, evaluation pipelines, and data and knowledge platforms; define secure, reusable architectures; resolve difficult technical problems; mentor engineers; and advise senior clients on technical and business trade-offs. The role also contributes reusable capabilities to the core platform and requires travel to client sites as engagements require.

Own growth programs that attract, onboard, and retain domain experts for AI systems. Set strategy, manage execution and teams, build expert pipelines, automate sourcing and onboarding with AI, analyze performance, run experiments, and scale successful processes into repeatable playbooks. The role requires strong ownership, data-driven decision-making, program operations experience, team leadership, and hands-on automation skills.