Senior Applied AI Engineer at Axiomatic AI | Boston, US / Barcelona, Spain

About Us:Axiomatic AI is at the forefront of creating a revolutionary class of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are developing verifiable and interpretable AI systems that enhance and support human researchers within critical scientific and engineering processes.Our ambitious mission, known as 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by the year 2030.We are committed to transforming hardware design and simulation across these industries and are assembling a team of exceptionally driven professionals to transition innovations from research into viable commercial products.Position Overview:As a Senior Applied AI Engineer, you will serve as a vital link between AI research and the production of software. Your responsibilities will include:Collaborating with users and internal stakeholders to pinpoint workflows where AI can add significant value.Designing and implementing product features powered by large language models (LLMs), utilizing frameworks such as PydanticAI or similar tools.Making informed trade-offs among models and methodologies, considering factors such as quality, latency, cost, privacy, and reliability.Facilitating AI developers in deploying their work in a reproducible and secure manner.Setting engineering standards for applied AI development, including testing, code reviews, maintainability, and operational readiness.Working closely with backend engineers to seamlessly integrate AI functionalities into our products.Mentoring junior AI developers and overseeing pull requests to guarantee high-quality output and consistent development patterns.Your Mission:Applied AI Product DevelopmentOversee applied AI features from start to finish: discovery, design, implementation, rollout, and iteration.Convert user feedback into clear technical requirements and realistic delivery plans.Create LLM workflows, including tool-calling agents, structured output pipelines, retrieval/tool integrations, and effective prompting strategies.Iterate rapidly while maintaining high production quality (readability, maintainability, debuggability).Model & Prompt StrategySelect and assess LLMs (OpenAI/Anthropic/others) based on tangible constraints: quality, cost, latency, context limitations, and reliability.Develop prompt patterns and guardrails, including structured prompts, schemas, constraints, and fallback mechanisms.Design and execute lightweight evaluations to prevent regressions.

In alignment with the Massachusetts state government's vision to position the state as a frontrunner in artificial intelligence innovation, the Massachusetts AI Hub has been launched within the Massachusetts Technology Collaborative (MassTech). This hub fosters innovative collaborations among government entities, industry leaders, startups, and academic institutions to tackle the most pressing global challenges while creating economic opportunities for businesses and residents alike.The Massachusetts AI Hub is dedicated to democratizing access to AI technology for both small and large enterprises across key sectors, empowering researchers, entrepreneurs, and startups to develop and commercialize transformative ideas.The Hub is in search of a visionary Senior Director to spearhead the orchestration of resources within the organization. This leadership role will facilitate the practical adoption of the AI Hub’s essential resources, such as the Massachusetts Data Commons Collaborative and a cutting-edge GPU cluster located at the Mass Green High Performance Compute Center. The objective is to expedite the state’s journey from AI capabilities to tangible implementation by managing impactful use cases that drive economic growth and societal benefits.The Senior Director will be instrumental in nurturing existing and forging new partnerships with research institutions, strategic industry sectors, government agencies, and nonprofit organizations that will engage with the AI Hub's data and computational resources. Furthermore, this role will involve identifying additional grant funding and revenue opportunities as a part of the AI Hub’s financial sustainability model, including federal and state funding, industry contributions, membership initiatives, philanthropic efforts, and other revenue-generating services.Key ResponsibilitiesOversee the development, governance, and utilization of the Massachusetts Data Commons while establishing secure and ethical data management protocols.Design and implement a strategic framework for the allocation of compute resources, ensuring optimal utilization and equitable access across critical Commonwealth initiatives.Identify and prioritize significant AI challenges presented by regional industry and academic partners.Translate business objectives into technical Hub projects, focusing on sectors such as life sciences, healthcare, robotics, climate technology, advanced manufacturing, and fintech.Forge partnerships with CEOs and CTOs to promote collaboration; monitor performance metrics and act as a public figure for the Massachusetts AI Hub.Manage and develop a team to meet the evolving needs of the organization.

Senior AI EngineerLocation: Boston (preferred) or Nashville | Travel: ~15% | Reports to: CTOAbout SynqueryAt Synquery, we are revolutionizing the way organizations access and scale human expertise through cutting-edge AI research. Supported by leading venture capital firms such as Afore Capital, Audacious Ventures, and Caesar Ventures, we collaborate with top consulting firms and investors to redefine working methodologies. Our AI-driven platform delivers expert insights in days, not weeks, transforming how clients approach due diligence, competitive intelligence, and market research.We foster a culture that prioritizes speed, entrepreneurial spirit, and a relentless pursuit of success. As we expand rapidly, we seek extraordinary engineers eager to develop world-class AI systems and contribute to the future of AI in business.The RoleWe invite a seasoned Senior AI Software Engineer to join Synquery at an exhilarating phase of our growth. This pivotal role entails significant responsibility across the entire product lifecycle, collaborating directly with the CTO to design and develop the systems that power our platform from start to finish.Our platform processes vast amounts of data through a sophisticated expert network automation pipeline, identifying the right experts, vetting credentials, ensuring availability and compatibility, and executing AI-driven interviews that yield actionable insights—all for some of the most demanding clients in consulting and investment. The technical challenges are substantial, the stakes are high, and the pace is rapid.Our mission is to democratize access to expert-level answers for questions lacking digital solutions—knowledge that resides solely in the minds of seasoned professionals. You will be instrumental in building the AI infrastructure that enables this: robust, scalable, and genuinely advancing the possibilities of agentic AI in real-world applications.

At WHOOP, we are dedicated to revolutionizing human performance and enhancing healthspan. Our innovative platform empowers members to achieve peak performance through profound insights into their physiological data and daily routines.We are in search of a visionary Director of Applied Artificial Intelligence to spearhead the design and implementation of intelligent systems that will define the future of the WHOOP experience. Reporting directly to the Senior Vice President of Software, this pivotal role offers a rare chance to influence the application of AI in fostering health, recovery, and performance enhancements for millions of members around the globe. In this capacity, you will craft and execute a comprehensive AI strategy across our product lines, platform, and operational frameworks—integrating state-of-the-art models with practical applications. You will lead a diverse team of researchers, engineers, and data scientists, and play a crucial role in guiding WHOOP’s commitment to ethical, scalable, and impactful AI solutions.

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

Axiomatic AI is seeking interns for a software engineering program centered on AI and agentic systems. This internship gives participants a chance to work on projects aimed at solving real-world challenges, guided by experienced professionals in the field. Role overview Interns will join teams focused on the design, development, and implementation of AI-driven solutions. The work involves hands-on experience with agentic systems and exposure to current technologies in artificial intelligence. What you will do Contribute to the creation and deployment of AI-based solutions Work closely with team members and industry experts to address technical problems Build practical skills in agentic systems and related tools Locations Boston, US Castelldefels (Barcelona), Spain

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each team member brings to our vibrant workplace. We believe that everyone deserves an equal opportunity to succeed, and we value the unique insights that individuals contribute beyond traditional qualifications. If you find that you closely match the criteria but not perfectly, we encourage you to apply. Interested in discovering more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to take charge of their future.At Klaviyo, we envision a future where software transcends traditional productivity tools, evolving into intelligent systems that autonomously optimize based on performance metrics. Our platform serves as a crucial bridge between businesses and their consumers, boasting over 167,000 customers, billions of consumer profiles, and a vast array of customer interactions and conversion data. This presents an exciting opportunity to develop cutting-edge AI and machine learning technologies that will enhance our product offerings and create AI agents capable of autonomously orchestrating marketing strategies and customer experiences across various industries.As a Senior AI Engineer at Klaviyo, you will be instrumental in architecting and developing scalable backend systems and user experiences that drive our AI innovations forward. You will collaborate closely with product managers, machine learning engineers, and data scientists to create substantial real-world impacts at scale. This role is primarily backend-focused, providing opportunities to influence system architecture, asynchronous processing pipelines, distributed systems, and more.

Join Klaviyo as a Senior AI Engineer and be a pivotal part of our innovative team, driving the future of AI technology in marketing automation. You will leverage your expertise to design, develop, and implement cutting-edge AI solutions that enhance our products and empower our clients.

About Us: Axiomatic AI is pioneering a new generation of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are creating verifiable and interpretable AI systems that enhance and support human researchers in critical scientific and engineering tasks. Our ambitious mission, 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost-effectiveness of semiconductor and photonic hardware development by the year 2030. We are set to transform hardware design and simulation across these sectors, assembling a team of passionate professionals dedicated to translating innovative research into commercial products. Position Overview: As a Research Software Engineer with a focus on scientific computing systems, you will be responsible for constructing and scaling the computational foundation of our scientific tools. This includes accelerating simulation and optimization workloads, facilitating robust distributed execution, and ensuring correctness and reproducibility across numerical pipelines. You will collaborate closely with a diverse team comprising AI Engineers, Software Engineers, Mathematicians, and Physicists to develop tools that revolutionize how engineers and scientists leverage AI in their daily operations. Your Mission: Scalable Scientific Computing: Develop high-performance, reliable systems for simulation, inference, optimization, and uncertainty quantification workflows, particularly in the realms of electromagnetic simulation and inverse design. Performance Optimization: Analyze and enhance performance throughout end-to-end pipelines (CPU/GPU). Distributed Execution & HPC: Design and sustain distributed computing infrastructure for extensive sweeps and multiple experimental runs (multi-GPU/multi-node), emphasizing reproducibility, observability, and developer usability. Verification & QA: Establish rigorous testing and verification protocols for scientific computing pipelines (numerical regression, invariants, convergence tests, golden datasets), ensuring reliable results over time.

About Us: Axiomatic AI is pioneering a new generation of AI systems that apply the scientific method rigorously. By integrating deep learning with formal logic and physics-based modeling, we develop verifiable and interpretable AI systems that enhance and assist human researchers within critical scientific and engineering processes. Our Mission, 30×30: We are committed to achieving a 30× enhancement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We envision transforming hardware design and simulation across these sectors and are assembling a team of passionate professionals to translate these advancements from research into commercial products. Position Overview: As an AI Research Scientist specializing in photonic and neuromorphic computing, you will be instrumental in crafting AI algorithms and architectures, as well as simulation and optimization frameworks tailored for innovative, non-traditional computing platforms. You will help develop algorithms, digital twins, and training methods that connect AI, physics, and hardware-aware system design within Axiomatic's next-generation computational science tools. This position is part of Axiomatic's long-term research and product strategy, involving collaboration across various projects and initiatives, and working closely with AI researchers, physicists, and software engineers to translate cutting-edge concepts into scalable, impactful solutions. Your Mission: Simulation and Digital Twins: Create simulation and digital-twin tools that effectively model physical effects such as nonlinearities, noise, and precision limits, facilitating hardware-aware algorithm development. Co-Design and Collaboration: Collaborate with internal AI, software, and hardware teams to ensure cohesive alignment between algorithms, system constraints, and overarching platform objectives, including the automation of scientific workflows. Algorithm and System Design: Architect and prototype machine-learning frameworks and physics-aware optimization workflows for neuromorphic systems, examining efficient mappings of AI models onto emerging hardware substrates. Research, Benchmarking, and Reporting: Assess system-level performance trade-offs, conduct benchmarking studies, document findings, and contribute to technical decision-making across Axiomatic’s R&D portfolio.

At WHOOP, we are dedicated to enhancing human performance and extending healthspan through innovative solutions. Our mission is to empower individuals to reach their peak performance and enjoy longer, healthier lives. Utilizing advanced AI technologies, we transform continuous physiological data into meaningful insights and actionable recommendations. The AI platform is vital to our vision, converting raw physiological signals into personalized guidance that our members can implement daily.We are seeking a Senior AI/ML Engineer to play a crucial role in scaling our AI-driven experiences, which include WHOOP Coach, AI-powered Support, and various intelligent features across our product suite. In this pivotal position, you will be responsible for overseeing essential components of the AI Platform that power our internal AI Studio, such as evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tools. You will collaborate closely with product teams and data scientists to translate real user needs into robust, impactful AI systems that evolve based on actual usage.

At WHOOP, we are driven by a commitment to enhancing human performance and extending healthspan. Our platform empowers a wide range of members, from Olympians and professional athletes to fitness enthusiasts, enabling them to achieve their peak potential by gaining profound insights into their bodies and daily lives. We are eager to welcome highly skilled and motivated engineers to join our team, propelling our established system to unprecedented heights. Join the AI Platform team at WHOOP where we are tasked with building a robust foundation that facilitates the scalable, responsible, and accessible implementation of Generative AI across our diverse array of products. Our primary focus is on creating reusable infrastructure, services, and tools that empower both product and software teams to explore, integrate, and deploy GenAI-powered features both efficiently and securely. By simplifying the complexities associated with large language models (LLMs) and ensuring the delivery of personalized insights to our members, our platform accelerates innovation while maintaining a consistent, high-quality user experience. As a Senior Software Engineer on the AI Platform team, you will play a pivotal role in designing and scaling the systems that underpin WHOOP’s Generative AI capabilities. You will develop robust, modular services and user-friendly tools that streamline the interaction with GenAI models across the organization. This position merges a platform-oriented mindset with engineering excellence, helping WHOOP unlock the full potential of Generative AI across our core products, coaching services, insights, and beyond.

ServiceNow is seeking a Senior AI Engineer focused on Delivery Acceleration in Boston. This position centers on using artificial intelligence to improve how the company delivers its services and solutions. Role overview The Senior AI Engineer works with cross-functional teams to design and implement AI-driven improvements in delivery processes. The goal is to make these processes more efficient and effective, supporting ongoing business transformation efforts. Key responsibilities Apply AI expertise to streamline and optimize service delivery workflows. Collaborate with colleagues from different departments to identify opportunities for AI solutions. Develop and deploy AI models that support business goals and enhance delivery outcomes. Collaboration This role involves regular interaction with teams across the organization. Working together, you will help shape and implement AI strategies that improve ServiceNow’s operations and customer experience.

About SimpliSafe SimpliSafe stands at the forefront of innovation in the home security sector, committed to ensuring that every household feels secure. Our mission is to deliver accessible and comprehensive security solutions through user-centric designs that empower individuals and families to protect their most valued assets. We foster a collaborative and dynamic work environment where continuous learning and professional growth are paramount. Our teams consist of passionate and talented individuals dedicated to technology, security, and providing outstanding customer experiences. Embracing a hybrid work model, we encourage our teams to balance their time between office collaboration and remote work. Typically, our teams gather in our state-of-the-art office on core days—usually Tuesday, Wednesday, or Thursday—allowing for personal workspace flexibility while maximizing in-person collaboration. Why Join Us? As we expand and excel, we are on the lookout for intelligent, talented, and humble individuals who align with our values, eager to innovate in the home security landscape and relentlessly pursue our mission of securing Every Home. About the Role We are in search of a driven and highly skilled Computer Vision Applied Research Engineer to become a pivotal member of our expanding Edge AI team. In this influential role, you will spearhead the development of on-device machine learning solutions for outdoor monitoring in the home security domain. Your expertise will involve building and optimizing computer vision models that operate in real-time on resource-constrained embedded devices such as outdoor and doorbell cameras, striking the right balance between accuracy, latency, memory usage, power efficiency, and reliability under challenging conditions (including low light, adverse weather, and motion blur). Key Responsibilities: Lead the comprehensive development of edge ML models for outdoor monitoring applications (e.g., detecting and classifying persons, vehicles, and packages; tracking; segmentation; and event understanding). Design, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer architectures optimized for embedded inference. Enhance model efficiency through resource-aware design and training approaches, including: Architecture: Token/patch reduction, efficient attention variants, early-exit/conditional compute. Training: Distillation from large transformer models to edge implementations. Compression: Techniques such as Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization. Collaborate closely with cross-functional teams to integrate models into our products and ensure they meet quality and performance standards.

OverviewJoin us as a Senior Principal AI Engineer where you will play a pivotal role in shaping and leading the development of complex, production-grade AI systems. This position is tailored for innovative builders—those with a proven track record of transforming AI concepts into operational systems, adept at identifying and overcoming challenges that arise during scaling, and skilled in empowering teams to accelerate progress without compromising quality.This is not a conventional strategy or management position; instead, it is a highly technical role that significantly influences organizational direction. You will establish the technical roadmap through coding, system design, and fostering a builder-centric culture even as we navigate increasing complexity and scale.

Join Axiomatic AI as a Forward Deployed Engineer, where you will play a crucial role in integrating our advanced AI solutions into client environments. This position requires a unique blend of technical expertise and strong interpersonal skills, as you will collaborate with clients to understand their needs and ensure seamless deployment of our technologies.

Veeva Systems, a trailblazer in the industry cloud space, is dedicated to expediting the delivery of therapies to patients in the life sciences sector. With a remarkable ascent as one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last fiscal year, with promising growth opportunities on the horizon.At Veeva, we embody core values that guide our mission: Doing the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), reinforcing our commitment to balancing the needs of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to choose your work environment, whether at home or in the office, enabling you to excel in your ideal setting.Join us in transforming the life sciences industry and making a meaningful impact on our customers, employees, and communities.

Toast supports restaurants and local businesses as they navigate the digital landscape. The platform helps owners manage daily operations, boost sales, engage their customers, and keep teams motivated. The Customer Success Data and Analytics (CSDA) group focuses on transforming unstructured customer interactions into actionable insights. By applying Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs), the team builds data products that inform Care Operations, Customer Success, Education, and Voice of the Customer programs. Role overview The Principal Data Product Manager, Applied AI, leads initiatives to harness AI-powered data for a deeper understanding of customer experience. This position centers on prototyping, validating, and scaling a portfolio of AI-driven data products. These solutions enable the Customer Success organization to access and use customer insights more effectively. Collaboration is central to this role. The Principal Data Product Manager works with teams across Toast, sharing expertise and supporting the application of customer success data in AI contexts. The aim is to deliver data products that are efficient, consistent, and reliable. What you will do Prototype, validate, and scale AI-driven data products for Customer Success Work directly with platforms such as Snowflake and Hex Partner with Customer Success leaders to communicate the impact of data innovations Serve as a resource and thought partner for teams using customer success data Encourage efficient, consistent, and reliable use of AI-enhanced data across departments Who thrives in this role Comfortable taking ownership and working independently Experienced with technical platforms and tools (such as Snowflake and Hex) Skilled at collaborating with both technical and non-technical teams Enjoys a mix of hands-on technical work and cross-functional partnership Location Boston, MA

Location: Waltham, MA (Hybrid - 3 days In-Office) At ERGO NEXT, our mission is to empower entrepreneurs to succeed. We achieve this by being the only technology-driven, full-stack provider of small business insurance in the industry, transforming the entire value chain and enhancing the customer experience. In essence, where there are small businesses, ERGO NEXT is there to support them. Since our inception in 2016, we have assisted hundreds of thousands of small business customers across the United States in obtaining fast, tailored, and affordable coverage. Backed by leaders in both the insurance and tech sectors, we are on a growth trajectory, and we want you to be a part of it!

Join Klaviyo as an AI Engineer II and become a vital part of our innovative team. In this role, you will leverage your expertise in artificial intelligence to develop cutting-edge solutions that enhance our marketing automation platform. Collaborate with cross-functional teams to implement machine learning algorithms and data-driven strategies that drive customer engagement.