Forward-Deployed AI Data Engineer at Flipside Crypto | Boston/Remote

Who We Are Looking ForNavigating the complexities of enterprise data environments, you are not just an observer but a hands-on problem solver. You understand the nuances of unstructured data and have experience working with systems that are less than pristine. You have encountered the limits of machine learning models and have successfully innovated solution…

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.

As a Forward Deployed Engineer at Beacon Biosignals, you will play a vital role in bridging the gap between cutting-edge technology and real-world applications. You will collaborate closely with our clients to implement and customize our advanced biosignal analysis tools, ensuring they meet specific needs and enhance user experience. This position offers the opportunity to work on innovative projects that push the boundaries of biosignal research and technology.

At Beacon Biosignals, we are dedicated to transforming precision medicine for brain health. As pioneers in the field, our at-home EEG platform supports the clinical advancement of innovative therapies for neurological, psychiatric, and sleep disorders. Our FDA-cleared Waveband EEG headband and sophisticated AI algorithms empower quantitative biomarker discovery and application. With nearly 100,000 patients' EEG data in our Clinico-EEG database, our cloud-native analytics platform facilitates extensive retrospective and predictive studies using real-world data. Beacon Biosignals is redefining how brain physiology-related disorders are treated.We are currently on the lookout for a Forward Deployed Engineer to become a vital part of our Datastore team. This team is central to Beacon’s platform, establishing our foundational data model and acting as the centralized repository and API for brain data sourced from clinical studies and home sleep tests. As we broaden our partnerships and enhance our real-world data integrations, we seek an engineer who excels at the intersection of data platforms, customer requirements, and practical problem-solving.In this position, you will engage directly with our external partners to comprehend their technical use cases, facilitate integrations with our APIs and datasets, and craft integrated solutions that enable them to extract value from Beacon’s data platform. You will collaborate closely with Datastore engineers, product managers, and scientific teams to translate partner needs into robust data models, tools, workflows, and enhance our capability to troubleshoot and resolve client issues at scale.This role focuses on deploying and enhancing Beacon’s data platform in real-world applications, rather than constructing core infrastructure from scratch. You will create proofs of concept and production-ready code, develop analyses and dashboards, and build integration tools that drive partner success with Beacon’s data.This position is based in the Boston area to facilitate regular on-site customer engagement and foster close collaboration with our local team.

Company Overview:Maven AGI is an innovative enterprise AI platform dedicated to harnessing the power of artificial general intelligence (AGI) to revolutionize customer service. Established in July 2023 by industry leaders from HubSpot, Google, and Stripe, Maven specializes in creating conversational AI agents that deliver precise and autonomous support, enhancing customer satisfaction on a large scale.Our platform seamlessly integrates diverse systems, consolidates knowledge and personalization resources, and facilitates intelligent actions—all without the need for expensive system modifications. We envision a future where our technology manages complex tasks, empowering individuals to concentrate on their strengths: creative problem-solving, relationship building, and providing remarkable customer experiences.We are rethinking enterprise customer experiences, starting with support. Our conviction is that the current support landscape is flawed: it is slow and tedious for customers, and resource-heavy for companies.At Maven, we are committed to delivering superior and cost-effective support for both users and agents. Thanks to recent breakthroughs in Generative AI, we can now offer delightful customer interactions at a fraction of the traditional costs.Team:Maven boasts a stellar team drawn from Google, Meta, Amazon, Microsoft, and Stripe, with guidance from executives and advisors from OpenAI, Google, HubSpot, and Stripe.Position Overview:As a Senior Forward Deployed Engineer at Maven AGI, you will play an essential role in our go-to-market strategy, supporting our customer experience team to promote the adoption of our AI solutions. Your responsibilities will include identifying customer challenges, designing bespoke solutions, and ensuring that new clients are positioned for success by delivering tangible business outcomes. This role requires a blend of technical expertise, sales acumen, and a commitment to customer success throughout their journey.What You’ll Do:Solution Design: Collaborate with the sales, CX, and product teams to create tailored solutions that resolve specific customer pain points and yield measurable ROI swiftly.Technical Implementation: In a post-sales capacity, collaborate closely with project managers and solution engineering teams to devise an implementation strategy and oversee the full product rollout.

Join Our Mission at LangChainAt LangChain, we are dedicated to making intelligent agents a standard part of everyday life. Our goal is to provide developers with the essential tools to transition from prototyping to deploying production-ready AI agents that can be trusted by teams. Starting as a widely embraced open-source initiative, we have evolved to offer a robust platform for constructing, assessing, deploying, and managing agents on a large scale.Our suite of products, including LangChain, LangGraph, LangSmith, and Agent Builder, empowers teams to deliver real AI solutions across various sectors, from startups to major corporations. Esteemed clients such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 rely on LangChain to enhance their AI capabilities.Having successfully raised $125M in Series B funding from prominent investors such as IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in an exciting phase of growth where innovation thrives, and every team member's input significantly influences our progress and collaborative processes. At LangChain, your efforts will directly impact the application of AI technology in the real world.About Our Deployed Engineering TeamThe Deployed Engineering team plays a vital role in collaborating with organizations to design and implement AI agents in production. Our mission is to transform innovative concepts into reliable systems that teams can depend on.This is a technical, hands-on team that collaborates closely with client engineers throughout the entire project lifecycle, from pre-sales assessments to post-deployment support. Our primary focus is on achieving technical success, co-designing agent architectures, and ensuring that clients can manage agents effectively at scale with the help of the LangChain suite.Your Role as a Deployed EngineerAs a Deployed Engineer, you will tackle some of the most challenging issues in applied AI—focusing on delivering systems that teams actually depend on in production, rather than mere demonstrations or research projects. The feedback loop is rapid, the results are tangible, and your contributions will directly influence the construction of AI agents in practical applications.

Who We Are Looking ForCreating an AI agent is straightforward. The real challenge lies in ensuring it delivers consistent and accurate responses multiple times, particularly when dealing with real enterprise data in a regulated setting, without human oversight on every output.You have experience deploying AI agent systems in production environments with messy, unstructured data—not just on sanitized demo datasets. You understand the pitfalls of accuracy and know that simply refining prompts won't resolve deeper semantic issues. Your expertise includes building systems that are resilient, even when the model doesn't perform flawlessly every time, and you possess the judgment to know when to proceed with deployment.You are not seeking a predefined architecture to implement; rather, you are eager to tackle the unsolved challenges and create the solutions that define industry standards.About Flipside CryptoFlipside Crypto develops AI solutions that transform chaotic institutional data into actionable insights, workflows, and outcomes. With a strong foundation in blockchain data infrastructure—spanning 8 years, over 20 blockchain networks, and more than 700 million resolved wallets—we now extend our capabilities to enterprises facing similar challenges: leveraging their data efficiently at scale without the need for extensive analyst teams.Our technology is already in active use by financial institutions and organizations like Interlochen, demonstrating a robust architecture. We are now focused on building the enterprise operations around our proven solutions.The RoleIn this position, you will take ownership of the architecture that ensures the reliability of our AI agent fleets. This includes the harness, tooling, orchestration patterns, and semantic layers that maintain outputs within the context of the organization. Your work will involve actively developing and enhancing Forge (our agent framework), Lattice (fleet orchestration), and Stratum (semantic intelligence)—the systems that underpin our production deployments.Your commitment to output quality is unwavering—not due to external pressure, but because you have witnessed the consequences of agents losing their effectiveness. You will strive for quasi-determinism, utilizing validated tools to ensure agents produce consistent and auditable results at scale. This is a Staff-level role where you will define the architecture, establish standards, and make informed decisions independently.Your ResponsibilitiesDesign and construct the architecture for AI agent workflows, including planning loops, tool utilization, memory management, retrieval processes, and human-in-the-loop checkpoints.Assess, integrate, and optimize foundation models and LLM APIs tailored for specific enterprise applications.

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.

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.

PA Consulting is looking for a Data Engineer to join the Corporate department in Boston. This role centers on designing and building data solutions that align with business objectives. Key responsibilities Collaborate with teams across the company to identify and understand data requirements Develop and maintain data pipelines to ensure reliable data flow Support the implementation of data solutions that contribute to business outcomes

Role Overview redsox is hiring a Data Engineer in Boston, MA. This role focuses on designing and building data solutions that support decision-making throughout the company. The Data Engineer will work closely with teams from different departments to understand their needs and deliver reliable, scalable data pipelines. What You Will Do Design and implement data pipelines to support analytics and reporting Collaborate with cross-functional teams to gather data requirements Build solutions that help the organization make informed decisions Location This role is based in Boston, MA, United States.

At Anduril Industries, we are revolutionizing defense technology to enhance U.S. and allied military capabilities. Our mission is to integrate cutting-edge technology with modern business practices to reshape the defense industry. Our innovative systems are driven by Lattice OS, an AI-powered operating system that consolidates vast amounts of data into a real-time, 3D command and control center. As global strategic competition intensifies, we are dedicated to delivering state-of-the-art autonomy, artificial intelligence, computer vision, sensor fusion, and networking technologies to military applications within months, not years.JOB OVERVIEWWe are on the lookout for a talented Security Software Engineer specializing in cryptographic services and key management. You will play a critical role in developing security tools to protect our diverse product suite. The ideal candidate will possess the skills to develop, test, and debug embedded software while ensuring mission-critical security measures are met.KEY RESPONSIBILITIESDesign and implement cybersecurity tools for real-time embedded systems, including embedded Linux and Android platforms.Develop robust software solutions that support all aspects of key management on embedded systems—from key loading to sanitization.Create comprehensive testing and qualification protocols for security-sensitive components.Work closely with cross-functional teams to identify security requirements and deliver effective solutions.Conduct code reviews and promote adherence to security best practices.Stay informed about emerging security threats and technological advancements.

About KKR & Co. Inc. KKR & Co. Inc. is a global investment firm with expertise in alternative asset management, capital markets, and insurance solutions. The firm manages funds in private equity, credit, and real assets, and works with partners who oversee hedge funds. KKR’s insurance subsidiaries, including Global Atlantic Financial Group, provide retirement, life, and reinsurance solutions. The company emphasizes disciplined investing and long-term growth for its portfolio companies and communities. Team: ADAPT Engineering The ADAPT (AI, Data, and Platform Technologies) Engineering team shapes KKR’s core data and AI capabilities. This group designs and supports the firm’s foundational data architecture, building platform-based solutions that drive agility and measurable business results. Their work supports KKR’s global scale and ongoing business transformation. Role Overview: Lead Data Engineer - Data Platform Based in Boston, MA, the Lead Data Engineer joins the core ADAPT Engineering team in a hands-on capacity. This position calls for deep experience in modern data engineering, especially with large-scale financial datasets. The role focuses on designing and implementing advanced data engineering solutions that streamline complex data pipelines, apply AI-driven insights, and enable smooth integration across cloud-based databases. This engineer will define and optimize the technical architecture for KKR’s data structuring, storage, and usage, ensuring high standards for data integrity, performance, and accessibility across the firm. Main Responsibilities Set and lead the enterprise strategy and target-state architecture for Data Explorer, enabling scalable, governed, and user-friendly data discovery, access, sharing, and reuse throughout KKR. Develop the long-term vision, design principles, and adoption framework for enterprise data exchange capabilities, covering metadata, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption. Act as the senior technical authority for data analyst agents, guiding the development of agentic capabilities.

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.

Data EngineerLocation: Boston, MA (Hybrid — 2 days per week in office)About UsClasp is a dynamic, venture-backed startup dedicated to reshaping access to education and career opportunities. We are on a mission to transform how employers attract and retain vital talent while addressing the student debt crisis head-on. Our innovative platform connects employers, educational institutions, and diverse talent, utilizing accessible education financing as a core connection point. More than just a fintech company, we aim to be a catalyst for economic mobility.As a proud member of the Forbes Fintech 50 and a portfolio company of the Society of Human Resource Management (SHRM), Clasp has been recognized as the 'Startup of the Year' by StartUp Boston. Our commitment to social impact and innovation drives us to reshape the workforce's future, one opportunity at a time. Join us in empowering learners and unlocking fulfilling careers that foster positive change within their communities and beyond.The Role – Data EngineerWe are looking for a skilled Data Engineer to develop and manage robust data pipelines that will ingest and provide access to critical data concerning hundreds of millions of dollars in student loans, education enrollment statuses, and employment metrics. The ideal candidate will possess strong programming skills in Python and a fervor for high-performance data pipelines and the analytics they enable.At Clasp, we cultivate a DevOps culture where engineers have complete ownership of their code and the infrastructure it operates on. We seek candidates who are eager to make significant contributions to the architecture that supports our product roadmap and the Stride business, while also pursuing substantial personal growth alongside us!Our modern Data Technology Stack includes Airflow, dbt, PostgreSQL, Superset, BigQuery, Python, and SQL.Key ResponsibilitiesData Pipeline Development & ReliabilityDesign and maintain scalable data pipelines for ingesting and transforming financial, educational, and employment data.Ensure data reliability, timeliness, and accessibility for internal teams and external partners.Proactively identify and resolve data quality issues, including upstream dependencies.

At Toast, we are dedicated to empowering restaurants and local businesses to thrive in the digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and foster employee satisfaction. About Toast Toast is on a mission to revolutionize the restaurant industry by providing a comprehensive platform that allows businesses to adapt, take control, and flourish. Our Customer Success (CS) organization is crucial in maximizing the value our customers derive from our offerings. We are actively enhancing our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is at the forefront of this transformation, developing a robust data infrastructure that enables proactive, data-informed engagement for approximately 150,000 restaurant locations. Role Overview As a Principal Data Engineer, you will be a key player in a newly established data engineering function within our Customer Success team. You will have a direct impact on shaping the architecture, tools, domain models, and team culture from the outset. This is a unique opportunity to build innovative solutions from the ground up, with visibility to VP-level and senior leadership within Customer Success. In this role, you will design, build, and scale the data platforms and pipelines that drive insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure the availability of high-quality, reliable data that is both accessible and actionable. This hands-on engineering position focuses on delivering production-grade, scalable, and dependable data systems that bolster analytics, reporting, and operational decision-making across Customer Success. A Day in the Life (Responsibilities) Design, construct, and maintain scalable, production-ready data pipelines (batch and real-time) tailored for Customer Success using cutting-edge data technologies. Develop and refine data models and schemas that facilitate reporting, analytics, and machine learning initiatives across Customer Success functions. Collaborate with CS operations leaders in areas such as care, workforce, and CX to translate business needs into pipeline and infrastructure priorities, ensuring that data projects are directly linked to customer retention and operational success. Ensure high standards of data quality, observability, lineage, and governance are integrated into every data workflow. Implement best practices for cost-effective, high-performance cloud-based data infrastructure. Contribute to...

Join our dynamic team at PA Consulting as a Senior Data Engineer, where you will leverage your expertise in data engineering to drive impactful projects. You will have the opportunity to work with cutting-edge technologies and collaborate with diverse teams to deliver innovative solutions that meet our clients’ data needs.As a Senior Data Engineer, you will design and implement scalable data architectures, optimize data pipelines, and ensure the integrity and accessibility of data across the organization. Your role will be pivotal in transforming raw data into actionable insights, thereby enhancing business decision-making.

About Veeva Systems Veeva Systems, Inc. delivers industry cloud solutions that support the life sciences sector. The company focuses on accelerating how therapies reach patients. In the last fiscal year, Veeva reported over $3 billion in revenue and continues to expand. Veeva operates as a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors. Core values include Do the Right Thing, Customer Success, Employee Success, and Speed. Work Location and Flexibility This Data Engineer position is based in Boston, Massachusetts. Veeva’s Work Anywhere approach allows team members to work from home or in the office, supporting different work preferences. Impact and Mission Veeva’s work supports the transformation of the life sciences industry. The company aims to make a positive impact on customers, employees, and communities. Learn more about Veeva’s mission in this short video.

Mission: We are in search of a talented and driven Senior Data Engineering Analyst to join our innovative team focused on large-scale AI model evaluation through our platform, Ground Truth Regression. The ideal candidate will possess a solid foundation in data engineering, machine learning principles, and statistical analysis. At Motional, the orchestration of extensive data analysis is crucial for advancing our machine learning-driven autonomous driving technology. Our robo-taxi ML models and software are developed by a dedicated team of engineers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework to validate any changes that could influence the behavior of autonomous vehicles. The Ground Truth Regression team assesses the cumulative effects of ML and software modifications during the development phase, equipping the team with tools for root cause analysis and safety evaluations. We meticulously monitor model errors, anomalies, and rare occurrences across extensive driving scenarios, gathering insights over thousands of driving hours. The team is responsible for developing the full-stack infrastructure, including AWS Kubernetes orchestration, re-simulation, model metrics, regression reports, and deep-dive analytical tools. Collaboration with other perception and ML teams is integral for establishing metrics and analyzing outcomes. What You’ll Do: Collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for validating autonomous vehicle performance. Pursue innovation by researching and developing new large-scale data analysis frameworks. Lead large-scale data analysis workflows to identify unexpected impacts of both planned and unplanned modifications to ML models and software. Construct high-quality datasets to enhance ML product performance through training and edge case validation. Deliver in-depth statistical insights on model performance and generalization through thorough error and change analysis. What We’re Looking For: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proficient programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Familiarity with large-scale data processing and distributed computing technologies. Strong communication and software development skills, including goal setting, design documentation, testing frameworks, and collaborative team development.

At Veeva Systems, we are on a mission to revolutionize the life sciences industry by accelerating the process of bringing therapies to patients. As a trailblazer in the industry cloud space, we have achieved remarkable success, surpassing $2 billion in revenue last year with a promising trajectory ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide every decision we make. In 2021, we proudly became a public benefit corporation, reinforcing our commitment to balance the interests of all stakeholders, including customers, employees, and society.As a Work Anywhere company, we embrace flexibility, allowing you to choose your work environment—whether remote or in-office—so you can thrive in the way that suits you best.Become part of our journey to transform the life sciences sector and make a positive impact on the communities we serve.