• Design, refine, and maintain prompts for AI applications across a range of use cases. • Translate ambiguous business or user needs into structured prompt strategies and interaction flows. • Test and evaluate AI outputs for quality, accuracy, consistency, and usability. • Improve prompt performance through experimentation, iteration, and analysis. • Partner with product, design, engineering, and business teams to create seamless AI-powered user experiences. • Identify failure modes, edge cases, and opportunities to improve AI behavior. • Develop prompt libraries, best practices, and documentation for internal teams. • Apply UX thinking to ensure AI interactions are clear, engaging, and aligned with user intent. • Monitor user feedback and usage patterns to continuously improve AI interactions. • Stay current on developments in generative AI, LLM behavior, and conversational design.

Senior Staff Engineer   Location: Brazil; Colombia, Huila, Colombia; India - Remote   About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com   At Turing, we are building the trust, intelligence, and workflow infrastructure that powers how top global talent gets discovered, evaluated, and hired. We are looking for a highly capable engineering leader to help architect and build a new generation of AI-first vetting systems that improve talent integrity, capability assessment, and hiring experience at scale. This role sits at the intersection of platform engineering, applied AI, product thinking, and execution. The right person will not just ship isolated features, but build durable systems that can support multiple products and use cases over time. What you will own: - Build and scale core components of Turing’s vetting platform, with initial focus on: - AI Interviewer - Task-based vetting platform - Fraud and integrity checks - Design platform-level systems rather than siloed point solutions, with strong emphasis on extensibility, reuse, and long-term maintainability - Partner closely with Product, Design, Data, and Operations to translate ambiguous business problems into scalable technical systems - Lead architecture and implementation for high-scale, high-reliability user-facing and internal workflows - Improve system quality across UX, performance, observability, and developer velocity - Help establish technical direction, engineering standards, and execution rigor for a fast-moving, AI-forward org - Mentor engineers and raise the bar on engineering craftsmanship, systems thinking, and speed of execution What we are looking for: - 8+ years of software engineering experience, with strong depth in backend/platform systems - Experience building and scaling complex product or platform systems used in production - Strong systems design skills, with the ability to think in platforms, primitives, and reusable abstractions rather than one-off features - Proven ability to operate in ambiguous environments and convert evolving requirements into clean technical approaches - Strong product instinct and user empathy; able to balance architecture quality with business speed - Experience working on workflow systems, evaluation platforms, marketplaces, trust & safety, identity/fraud, or AI-powered products is a strong plus - Familiarity with modern AI/LLM-powered systems and the ability to apply them pragmatically in production workflows - Track record of driving high-impact initiatives end-to-end across cross-functional stakeholders - Strong communication skills and a high-ownership mindset What great looks like: - Can independently take a messy problem space and turn it into a clear system design and execution plan - Builds for scale, but without overengineering - Thinks beyond the immediate ask and identifies the right underlying platform opportunities - Moves fast, has sound judgment, and can make pragmatic tradeoffs - Raises the quality bar for both technical design and product execution - Comfortable working across architecture, implementation, and org-level influence Why this role matters: Turing is entering a phase where trust, verification, and AI-led vetting are becoming central to the user experience and business model. This role will help build the systems that determine how we assess talent quality, verify authenticity, reduce fraud, and create a world-class experience for both talent and hiring teams. The work here is foundational and will directly shape the future of Turing’s platform.   Values: - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. - We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection - We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: - Amazing work culture (Super collaborative & supportive work environment; 5 days a week) - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) - Competitive compensation - Flexible working hours Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

• Provide on-site technical support at customer sites, integration events, field exercises, and demonstrations involving autonomous systems (robots and drones) • Develop, integrate, and troubleshoot software components across distributed systems and autonomy platforms • Support the design, configuration, and maintenance of communications infrastructure used in field deployments • Assist in the integration and operation of command and control (C2) systems in tactical and semi-tactical environments • Diagnose and resolve complex software, hardware, and system-level issues in time-sensitive field conditions • Collaborate with customer engineering teams and internal engineers to achieve integration milestones and exercise objectives • Document field findings, issues, and resolutions to support continuous improvement of product reliability and deployment readiness • Provide feedback to internal product and engineering teams based on field observations to drive improvements • Support pre-deployment testing and validation activities to ensure systems are field-ready • Serve as a trusted technical representative of the company in customer-facing settings, maintaining professional relationships with defense stakeholders • Participate in after-action reviews and contribute to lessons-learned processes following integration events and exercises • Adapt quickly to evolving mission requirements and operational constraints in the field

• Handle and troubleshoot requests from tech support and internal teams, including root cause analysis of complex issues (HTTP flows, API errors, web integrations, browser/client-side errors, performance problems). • Standardize solutions, prepare and maintain clear instructions and playbooks for L1 and L2 engineers. • Investigate product bugs and customer-facing errors, participate in their resolution together with Product and Engineering teams. • Proactively analyze logs to identify root causes, performance bottlenecks, and unusual patterns. • Analyze existing problems in production systems and set well-defined tasks for Engineers to fix them. • Automate routine and repetitive tasks to improve team efficiency. • Take part in on-call duties for incidents and help improve our monitoring, alerting, and response processes.