Applied AI Engineer

Join Our Mission at TwentyAt Twenty, we are committed to tackling one of the most pressing challenges of our era: safeguarding democracies in the digital landscape. We create innovative technologies that merge the realms of cyber and electromagnetic domains, where the pace of operations surpasses human perception and complexity goes beyond traditional limits…

Join our dynamic team as a Software Engineer specializing in Applied AI at HackerOne, where innovation meets security. You will play a crucial role in developing and implementing cutting-edge AI solutions that enhance our platform's capabilities, providing our clients with unparalleled security insights and protection. As part of our collaborative environment, you'll work closely with cross-functional teams to drive AI initiatives from concept to deployment, ensuring the highest standards of quality and performance.

At Accenture Federal Services, we are dedicated to empowering the US federal government to strengthen and secure the nation and enhance the lives of its citizens. Our team of over 13,000 professionals is united by a common mission to harness the endless possibilities of technology and innovation for our clients across defense, national security, public safety, civilian, and military health sectors. Become a part of Accenture Federal Services, a technology leader within the global Accenture network. Acknowledged as a Glassdoor Top 100 Best Place to Work, we cultivate a collaborative and inclusive environment where everyone feels they belong. We empower our team members to grow, learn, and thrive through hands-on experience, certifications, industry training, and more. Join us in making a positive, lasting impact that advances missions and the government forward! The work: Develop MLOps frameworks and workflows for diverse domains and applications. Deploy, maintain, and optimize machine learning models and data processes in a production environment.

Join HackerOne, a global frontrunner in Continuous Threat Exposure Management (CTEM), where we merge advanced AI technology with the talent of the world's largest network of security researchers. Our cutting-edge platform aids organizations in the continuous discovery, validation, prioritization, and remediation of vulnerabilities across code, cloud, and AI systems. With solutions such as bug bounty programs, vulnerability disclosures, agentic pentesting, AI red teaming, and code security, we empower enterprises to achieve a measurable and ongoing reduction in cyber risk. Recognized by industry giants like Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, and government entities like the UK Ministry of Defence and the U.S. Department of Defense, HackerOne is trusted to protect digital ecosystems. Our commitment to innovation has been acknowledged in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report, and we’ve been honored as a Most Loved Workplace for Young Professionals (2024).As we stand at a crucial juncture in the security landscape, offensive security has become a necessity for progressive companies aiming to build trust and resilience in an era where AI-driven advancements and adversaries are evolving rapidly. HackerOne distinguishes itself by combining the brilliance of the largest security research community with an exceptional AI-enhanced platform, earning the confidence of the world’s leading organizations.Our ValuesAt HackerOne, we are committed to nurturing a robust and inclusive culture. Our customer-centric approach drives our decisions and actions, as we are Customer Obsessed and prioritize customer outcomes. We practice Default to Disclosure, emphasizing transparency and integrity to foster trust and accountability. Together, we Win Together by promoting empowerment, inclusion, respect, and accountability across our team, researchers, customers, and partners.Senior Software Engineer, Applied AILocation: Seattle, WA; Austin, TX.Work Schedule: 1 Day Onsite WeeklyPosition OverviewAs a Senior Software Engineer on our AI Platform team, you will play a pivotal role in transforming offensive security through the integration of human and artificial intelligence, thereby creating a safer internet. Your contributions will directly impact the development of our next-generation AI security capabilities, particularly our in-platform AI security agent, Hai. You will be responsible for developing AI-driven features that optimize vulnerability discovery, enhance remediation processes, and much more.

Join HackerOne as a Staff Software Engineer, Applied AI, and be at the forefront of innovative technology solutions that enhance security through artificial intelligence. In this role, you will lead projects that leverage cutting-edge AI techniques to address complex security challenges, driving the development of scalable and effective software solutions.

Join MetroStar Systems as a Senior AI/ML Engineer I, where you will play a pivotal role in advancing a high-visibility, enterprise AI-driven financial compliance initiative for the Department of Defense. This essential program enhances compliance and audit workflows across more than 180 systems, focusing on modernizing financial systems. You will be responsible for designing, developing, and deploying advanced AI models that facilitate automated compliance translation, anomaly detection, semantic search, and provide support for executive-level decision-making. At MetroStar, we believe exceptional technology services stem from amazing people. Our long-standing commitment to cultivating the best and brightest teams drives our success. Our mission is clear: A passion for our people. Value for our customers. If you are excited about delivering our mission and pursuing our objectives, we invite you to explore the details of this opportunity below!

Role Overview Axon is looking for a Senior Software Engineer I focused on Applied AI to help build solutions that improve public safety. This role works closely with engineers and data scientists to develop technologies that use artificial intelligence for law enforcement use cases.

At Accenture Federal Services, our top priority is to empower the US federal government in enhancing national security and improving the quality of life for its citizens. Our dedicated team of over 13,000 professionals is united by a common mission to harness the limitless potential of technology and innovation for clients in defense, national security, public safety, civilian, and military health sectors. Become a part of Accenture Federal Services, a dynamic technology firm within the global Accenture network. Celebrated as one of Glassdoor's Top 100 Best Places to Work, we foster a collaborative and supportive environment where you can truly belong and are encouraged to grow, learn, and excel through practical experiences, certifications, industry training, and more. Join us in making a positive and enduring impact that propels missions and government initiatives forward! The Role: Develop MLOps frameworks and workflows across diverse domains and applications. Deploy, maintain, and optimize machine learning models and data processes within a production environment.

Join Aircall, a leading unicorn in AI-powered customer communication solutions, trusted by over 22,000 businesses globally to enhance revenue, accelerate issue resolution, and scale customer-facing teams. We are revolutionizing customer interactions by integrating voice, SMS, WhatsApp, and AI into a unified platform.Our growth is driven by a core principle: empower teams to work smarter, not harder. With innovations like our AI Voice Agent for automating routine calls, AI Assist for optimizing post-call tasks, and AI Assist Pro for providing real-time support, we enable teams to achieve higher revenue and faster resolutions confidently.Headquartered in Paris, with a strong North American hub in Seattle, Aircall also has teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We have developed a beloved product and a high-growth business, supported by top-tier investors and driven by rapid advancements in AI across various product lines.At Aircall, you'll be part of a dynamic and ambitious organization. We prioritize product excellence and execution, allowing for quick decision-making and significant impact.Our Work Culture: We are deeply customer-focused, data-informed, and committed to delivering valuable results. We value ownership, continuous learning, and thoughtful agility. If you excel in a collaborative, fast-paced environment where trust and impact are paramount, you're in the right place.We are seeking a Senior Software Engineer to develop intelligent systems that automate workflows across various internal departments at Aircall. This position merges advanced software engineering expertise with a passion for understanding and automating the workflows of stakeholders in Marketing, Sales, Customer Support, Customer Success, Finance, HR, Legal, Engineering, Product, and other functional areas utilizing AI agents. Ideal candidates should possess curiosity, an affinity for solving complex challenges, and practical experience deploying LLMs in production.

About UsAt Metropolis, we are at the forefront of a transformative movement known as the Recognition Economy. We are developing cutting-edge artificial intelligence solutions that enhance everyday experiences, making them seamless and intuitive. Our innovations are redefining how individuals interact with their environments, from revolutionizing parking to enriching retail and hospitality experiences. Join us in building a future where technology fosters connection, comfort, and belonging.Your RoleWe are looking for an experienced Director of Applied AI to spearhead our newly established Applied AI team. In this pivotal role, you will design an AI-centric operational framework from scratch. As a technical visionary, you will bring a unique combination of engineering expertise and strategic influence to deliver production-ready AI systems. Reporting to senior leadership, you will identify key areas where AI can drive significant impact across our business functions, including finance, operations, and go-to-market strategies. You will cultivate a high-performing team of AI Engineers and Process Analysts, fostering a culture of rapid innovation and collaboration.Key ResponsibilitiesDevelop and manage the Applied AI roadmap, pinpointing high-impact opportunities to enhance business processes across finance, operations, and revenue generation.Recruit, mentor, and guide a talented team of AI Engineers and Process Analysts, promoting an environment of fast-paced iteration and creative problem-solving.Collaborate with functional leaders to gain insights into existing workflows and co-create AI-driven solutions that streamline operations.Establish standards for designing, assessing, and implementing AI workflows, including prompt systems and large language model (LLM) integrations.Define metrics for process transformations and hold the team accountable for delivering measurable outcomes, such as time savings and cost reduction.Act as the go-to expert on applied AI capabilities, industry trends, and best practices.Communicate strategy, progress, and results to senior leadership and the executive team.Qualifications7+ years of experience in software engineering, AI/ML, or technical product leadership.A minimum of 2 years in a leadership role overseeing teams that successfully deployed AI-powered systems in a production environment.In-depth knowledge of large language models, agentic workflows, and AI automation tools such as OpenAI, LangChain, and vector databases.

Join UiPath as a Principal Applied Scientist - AIAt UiPath, we are champions of automation, revolutionizing the way businesses operate through innovative enterprise software solutions. Our team's passion for curiosity, generosity, and authenticity drives us forward in this dynamic environment.Are you ready to make a significant impact?As a Principal Applied Scientist at UiPath, you will spearhead advancements in machine learning, laying the groundwork for groundbreaking product developments. This pivotal leadership role melds applied research, engineering, and strategic insight, allowing you to shape the trajectory of our cutting-edge ML projects.We are on the lookout for a scientist who has demonstrated success in leading influential research and implementing pioneering machine learning systems at scale. A deep curiosity about AI and ML, a commitment to innovation, and a passion for addressing real-world automation challenges are essential for this role.The ideal candidate should possess extensive experience in designing and executing sophisticated experiments, developing high-performance ML systems, and mentoring teams. We highly value collaboration, humility, technical excellence, and a proactive approach to problem-solving.Background:This position is within the UiPath advanced machine learning research group, focused on creating large multi-modal models that mimic human software interaction. Our goal is to expand the horizons of AI in the quest for effective general intelligence for enterprise automation.Your Responsibilities:Direct the design and implementation of state-of-the-art machine learning and deep learning systems for practical applications.Drive innovation in NLP, NLU, NLG, computer vision, and multi-modal learning to achieve significant advancements in software automation.Define and guide the strategy for scalable ML infrastructure and the transition from research to production.Design experiments, perform comprehensive benchmarking, and analyze large datasets to assess and enhance model performance.Collaborate extensively with engineering, product, and research teams to effectively integrate ML solutions into UiPath offerings.

Join Our Team as a Senior Software Engineer (Applied AI)In the pivotal role of Senior Software Engineer (Applied AI) at Pearl Health, you will be instrumental in developing the AI-driven intelligence layer for our innovative platform. Your expertise will be key in designing and deploying Applied AI functionalities such as RAG pipelines, Agentic workflows, and LLM integrations, all while ensuring a robust, scalable production environment. If you are driven by the desire to transform groundbreaking AI technology into impactful solutions that enhance health outcomes for countless providers and their patients, this position is tailored for you.About Pearl HealthAt Pearl Health, we are committed to supporting primary care providers, health systems, and physician-led networks in navigating the transition to value-based care. Our platform equips practices with cutting-edge technology, financial tools, and expert services, empowering them to deliver proactive and effective care to Medicare patients, ultimately leading to reduced costs and improved health outcomes.Established in 2020, our team consists of healthcare and technology pioneers, backed by esteemed investors including Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We collaborate with thousands of providers across 44 states to forge a sustainable future for American healthcare.Your ResponsibilitiesApplied AI & Full-Stack DevelopmentDesign, develop, and maintain production-level AI features powered by Large Language Models (LLMs), including RAG architectures and Agentic workflows.Create high-performance data pipelines, APIs, and microservices that efficiently handle healthcare data at scale, ensuring secure integration of LLM outputs into user-facing applications.Conduct Proof-of-Concepts (POCs) and technical assessments of emerging AI technologies to evaluate their viability and scalability for our products.Develop responsive web applications using contemporary frontend frameworks to provide users with intuitive intelligence and analytics features.Ensure observability and operational excellence for AI services, advocating for security and compliance with regulations such as HIPAA and SOC2.Technical Leadership & CollaborationLead architectural decisions and system optimizations for AI functionalities in collaboration with product and engineering teams.Take ownership of technical projects from conception to deployment, ensuring alignment with business objectives and long-term scalability.

Join our dynamic team at DigitalOcean as a Senior Full-Stack Engineer II, specializing in Artificial Intelligence and Machine Learning. In this role, you will leverage cutting-edge technologies to design, develop, and deploy robust applications that enhance our platform's capabilities. Collaborate with cross-functional teams to deliver innovative solutions that empower developers and businesses worldwide.

Location: McLean, VA or Washington, D.C. This position requires U.S. citizenship and all work must be performed within the continental United States. Role overview The Lead AI/ML Engineer at Raft leads the design, development, and deployment of artificial intelligence and machine learning systems for mission-critical settings. This role oversees the entire lifecycle of AI solutions, from initial data ingestion and model training to production rollout. Close collaboration with engineers, data scientists, and product managers is part of daily work. This position connects advanced AI capabilities with practical applications. Working with both clients and internal teams, the Lead AI/ML Engineer ensures delivery of scalable, secure, and high-performance systems that operate in both cloud and edge environments. Key responsibilities Design and build AI and machine learning systems that integrate with high-performance data platforms. Manage the full lifecycle of machine learning solutions, from development through deployment and ongoing operation. Collaborate with cross-functional teams to deliver solutions that address client needs. Raft is a defense technology company based in McLean, VA, serving U.S. military and government agencies. The team specializes in advanced AI and machine learning, focusing on autonomous data fusion and Agentic AI. Raft delivers solutions for distributed data systems and large-scale platforms, developing digital tools that serve millions of Americans. The company emphasizes a cloud-native ecosystem and practical, transformative technology. Learn more at https://TeamRaft.com.

Join Opendoor as an AI/ML Platform Engineer, where you will have the opportunity to shape the future of real estate technology. In this role, you will develop and maintain cutting-edge AI and machine learning platforms that drive innovation in our processes and enhance user experience. Collaborate with cross-functional teams to design robust solutions that address real-world challenges and improve operational efficiency.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Founded in 2017 and currently valued at $15 billion, this Silicon Valley leader is establishing the digital infrastructure necessary to infuse intelligence into every form of moving machinery. Our services cater to the automotive, defense, trucking, construction, mining, and agriculture sectors, focusing on three vital areas: tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the top twenty global automakers and the United States military along with its allies, Applied Intuition's solutions deliver unparalleled physical intelligence. Our headquarters is in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We are an in-office company, expecting employees to work primarily from their Applied Intuition office five days a week. However, we understand the value of flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the RoleAt Applied Intuition, we are redefining vehicle intelligence across commercial and defense sectors. As a Defense Software Engineer, you will take on responsibilities akin to those of a startup CTO: collaborating in small teams and taking ownership of end-to-end execution on high-stakes projects. You will act as the technical liaison between our innovative vehicle intelligence platforms and our customers' real-world operational settings.This position requires a unique blend of technical expertise and operational excellence. You will primarily engage with defense and government clients, integrating our tools, Vehicle OS, and autonomy stacks with DOD platforms in demanding operational environments. The distinctive advantage: you will harness our advanced commercial technology and rapidly evolving product suite to deliver capabilities that traditional defense contractors would take years to develop. You will address challenges encompassing core software engineering, systems integration, and automation.

At Stoke Space Technologies, we envision a thriving space economy that paves the way for a sustainable and equitable future on Earth. Our flagship initiative, Nova, is a revolutionary launch vehicle designed for rapid reusability and daily flight, addressing the core challenges of space transportation through reduced costs, enhanced availability, and improved reliability. By significantly lowering launch expenses and increasing flight frequency, we’re fostering a scalable space industry.Our mission-driven and collaborative team empowers each member to take ownership of their work. If you aspire to collaborate with some of the most talented and dedicated individuals in the field, we invite you to join us.Job SummaryThe development of reusable launch systems is crucial for establishing seamless connections between Earth and space. A key aspect of our success at Stoke Space lies in the rapid execution of our initiatives. As a Senior AI Engineer on the Boltline team, you will be responsible for designing and deploying intelligent systems that enhance our platform's capabilities. This includes creating automated workflows for complex manufacturing processes and developing RAG pipelines that reveal essential institutional knowledge. You will build evaluation frameworks to ensure the reliability of AI systems, create developer tools to empower the team, and integrate LLMs into production systems to accelerate hardware development. The ideal candidate will possess extensive expertise in applied AI/ML, demonstrate a strong sense of ownership, and exhibit curiosity, balancing swift execution with high-quality engineering.

At SpaceX, we believe in a future where humanity explores the stars, pushing the boundaries of what's possible. Our mission is to develop the technologies that will make this dream a reality, ultimately enabling human life on Mars.SENIOR SECURITY SOFTWARE ENGINEER, APPLIED COMPUTING (STARSHIELD)Starshield utilizes SpaceX’s groundbreaking Starlink technology and launch capabilities to bolster national security initiatives. While Starlink serves consumer and commercial markets, Starshield is tailored for government applications, focusing on earth observation, communications, and hosted payloads. Our team is dedicated to constructing highly reliable in-space mesh networks, designing secure systems for guaranteed access to space, and developing next-generation communication and sensing software.As a Senior Security Software Engineer, you will harness artificial intelligence to automate security processes and facilitate secure AI integration into new and existing systems. If you are passionate about AI, security, and the innovative fusion of both, this position is designed for you.We are looking for candidates with the following skills:Software engineeringAgent engineering and securityUnderstanding of LLM attack surfacesNetwork and operating system securityIncident response and adversary detectionSuccess in this role requires flexibility, clear communication, and the ability to build and maintain effective relationships with other engineering teams. If you are driven to create top-quality products, enjoy the challenge of outsmarting adversaries, and wish to make a significant impact on an inter-planetary scale, you will thrive here.

Join our innovative team at Applied Intuition as a Forward Deployed Software Engineer specializing in AI and Autonomous Systems. In this role, you will be responsible for deploying cutting-edge software solutions that enhance the capabilities of autonomous systems. You will work closely with clients to understand their needs and implement solutions that drive efficiency and innovation.

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.