Data & AI Engineer - Remote Opportunity

Join Infopro Digital as a Data & AI Engineer and play a vital role in our software development team. This permanent position supports our expanding Data & Benchmarking team, mainly focusing on Risk.net while occasionally collaborating with other brands.Infopro Digital is a leading B2B group specializing in information and technology, with a presence in 20 co…

Join Us in Transforming the Creator Economy with AIFanvue is rapidly emerging as one of the leading platforms for creator monetization on a global scale. Our AI-driven, creator-centric platform empowers creators to connect with their audiences, engage meaningfully, and generate income directly at scale. Following our successful Series A funding, Fanvue has achieved over $100M in annual recurring revenue, with impressive triple-digit growth year-over-year, supporting countless creators and millions of fans around the world.As we continue to expand, the significance of data within our organization is becoming increasingly vital across various functions including product development, growth strategies, finance, and risk management. This position is pivotal in establishing a robust data foundation that the entire company can rely on, facilitating quicker decision-making, sophisticated analytics, and scalable machine learning capabilities. The RoleWe are seeking a Senior Data Engineer to take charge of and enhance Fanvue’s essential data infrastructure.This is a crucial, high-impact role where you will stabilize data ingestion processes, enhance observability and governance, minimize manual tasks, and enable advanced analytics and machine learning workloads. Your contributions will be foundational in helping Fanvue thrive as a genuinely data-driven organization. ResponsibilitiesOversee and stabilize end-to-end data ingestion pipelines, including Change Data Capture (CDC) ingestion using Amazon DMSAddress schema drift challenges and automate column ingestion to eliminate manual re-sync effortsDevelop production-grade observability for data pipelines, dbt runs, and Athena performanceSet up monitoring and alerting frameworks to proactively identify data quality issues or pipeline failuresEnhance CI/CD workflows for data transformations, aiming to reduce PR build times and deployment complexitiesDesign and implement reusable ingestion frameworks for swift onboarding of new data sourcesEstablish robust data governance protocols, including dbt tests in production and scheduled full-refresh pipelinesFacilitate advanced analytics and ML infrastructure, including AWS SageMaker integration and on-demand analytics environmentsImplement fine-grained access controls (RBAC) to safeguard PII and sensitive data as the company scalesManage Infrastructure as Code for the data platform utilizing AWS CDK

Join Experian as a Data Scientist specializing in Generative AI and AI Engineering. In this role, you will leverage cutting-edge technology to analyze complex data sets, develop innovative AI models, and contribute to transformative projects that drive business success. Your expertise will be essential in shaping the future of data-driven insights.

About usOwkin is an innovative AI-driven company dedicated to unraveling the complexities of biology. We are developing the first Biology Super Intelligence (BASI) by seamlessly integrating advanced biological large language models, multimodal patient data, and intelligent software. Central to our vision is Owkin K, an AI copilot, powered by our proprietary LLM, Owkin Zero, designed to assist researchers, clinicians, and drug developers in advancing their understanding of biological processes, validating scientific hypotheses, and accelerating the delivery of precise diagnostics and therapies.Position is based in our London office or remotely in the UK and Germany.Please submit your CV in English.About the role:As a member of our Engineering team, you will play a crucial role in designing, constructing, and optimizing scalable ETL/ELT pipelines with Airflow, aimed at efficiently processing intricate datasets while ensuring high reliability and performance. Your responsibilities will include organizing and structuring data systems in alignment with business objectives and showcasing your expertise in scientific and healthcare information systems to develop data products that support machine learning and AI research. Attention to detail and the ability to manage high-volume, complex workstreams while prioritizing multiple deadlines will be essential. Strong interpersonal skills are required to collaborate effectively with various stakeholders in the biotechnology sector, and you will be instrumental in streamlining production workflows for scientific processing and quality assurance.Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goals.Optimize data pipelines for performance, reliability, and scalability.Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets.Demonstrate the ability to deliver data products that are valuable for machine learning and AI research and development (data models, metadata, and semantics).Exhibit strong organizational skills to effectively manage high-volume, complex workstreams while prioritizing multiple deadlines.Showcase knowledge of scientific and healthcare information systems and relevant software tools.

* Fully remote from the UK * Innovative Ideas. Real People. At Orca Security, we believe that in the right environment and with the right team, talent knows no boundaries. Our collaborative spirit, combined with our ambition to continuously push limits, has swiftly propelled us to unicorn status, establishing us as a global frontrunner in cloud security innovation. If you're eager to join an extraordinary team that motivates one another daily, now is the perfect moment to find your place within our group. We are on the lookout for passionate and talented individuals like you to become a part of our R&D organization and contribute to our mission of reshaping the future of cloud security. Are you ready to take the plunge and swim with our pod? Position Highlights Rapid Growth: Over the last seven years, we have accomplished milestones that typically take other companies a decade or more. During this time, we’ve significantly expanded our workforce, broadened our customer base, and quickly enhanced our product capabilities. Disruptive Innovation: Our founders recognized that traditional security solutions were inadequate for the cloud, prompting them to forge a new path. We are relentless pioneers who have developed agentless technology and continue to lead as the most comprehensive and innovative cloud security company. Robust Financial Backing: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn that dominates the cloud security sector. We are supported by a remarkable group of investors, including Capital G, ICONIQ, GGV, and SVCI—a collective of CISOs who invest their own funds following thorough due diligence. Respectful and Transparent Culture: Our executives take pride in their accessibility and believe in sharing knowledge with all employees. Every team member plays a crucial role in shaping the future of our industry. About the Role As a Senior Software Engineer on the DSEC (Data & AI Security) team at Orca Security, you will be part of a vital group dedicated to safeguarding customer data and AI assets at scale. The team is responsible for scanning and analyzing a wide array of data stores and AI services—from managed databases and container images to object storage buckets and virtual machines (VMs)—to uncover sensitive data, keys, personally identifiable information (PII), and misconfigurations. You will also have the opportunity to map, model, and assess cloud AI services, providing customers with clear visibility and security insights across their data and AI landscape. This role is ideal for those who are excited about building the infrastructure that supports our Data Security Posture Management (DSPM) and AI security capabilities. You will be instrumental in helping shape the future of cloud security.

Join our innovative team at weekday-1 as a Software Engineer, a role crafted for technology enthusiasts eager to contribute to cutting-edge projects in a fully remote environment. You will collaborate with a dynamic team of developers, designers, and product managers, leveraging your skills to create impactful software solutions.

At causaLens, we revolutionize analytics and data science with our cutting-edge digital workforce, designed to streamline and automate intricate analytics workflows. Our innovative AI agents function as reliable digital employees, removing the necessity for disconnected tools, third-party consultants, and costly seat licenses. With the trust of industry giants like Cisco, Johnson & Johnson, and Canon, causaLens enables teams to glean insights at lightning speed—ten times faster and at a fraction of the cost—while guaranteeing outcomes and eliminating overhead.Curious about our culture? Check out these two insightful articles:1. A Hiring Framework for a New Kind of Services Company2. The Primacy of WinningWe are in search of a Lead AI Engineer who is driven by a desire to assist leading enterprises in crafting and implementing scalable, well-organized solutions to tackle real business challenges. In this role, you will engage in significant, high-visibility projects—defining architectures, drafting solution specifications, and spearheading technical deliveries to ensure successful results. As a hands-on technical leader, you will decompose projects into actionable units and guide teams through their execution.

At Swap, we are revolutionizing the landscape of modern agentic commerce through our innovative AI-native platform. Our technology seamlessly integrates backend operations with an advanced storefront experience, empowering brands to sell anything, anywhere.Designed for forward-thinking brands, Swap centralizes global operations, enhances intelligent workflows, and enables margin-protecting decisions utilizing real-time data. Our comprehensive product suite encompasses cross-border logistics, tax management, returns processing, demand planning, and our pioneering agentic storefront, ensuring merchants have full transparency and the confidence to act decisively.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the dynamics of global commerce.About the RoleWe are seeking an extraordinary individual who transcends traditional data science. Our ideal candidate embodies: • A blend of human intuition and machine intelligence. • The ability to run parallel code paths and deploy agents to explore solutions autonomously.Join our Agentic squad, collaborating with five other AI and data science experts to refine, scale, and innovate the intelligence layer that powers our agentic storefront. This senior-level, high-agency generalist role is for someone who can navigate models, agents, experiments, and product decisions with agility and speed in a startup setting.Key ResponsibilitiesWork in tandem with Product, Engineering, and the Agentic team to enhance AI-driven features throughout the entire commerce journey.Design and refine recommendation and personalization systems leveraging behavioral and transactional data.Advance conversational agents, multi-agent workflows, and tool integrations.Iterate on virtual try-on and vision systems using prompt engineering, fine-tuning, and model chaining.Rapidly prototype new AI functionalities and transition them into production-grade systems.Establish and enhance experimentation frameworks, including A/B testing, evaluation pipelines, and benchmarking.Drive improvements in conversion, retention, and operational efficiency through applied machine learning.Identify automation opportunities and design agent-driven internal tools.

Join Our Innovative Team at MAGIC AIMAGIC AI is revolutionizing the in-home fitness industry with our state-of-the-art health coaching platform that leverages computer vision, connected weights, and advanced cameras to deliver customized training sessions guided by elite athletes. Our innovative solution has garnered significant attention, being featured in Selfridges, highlighted on Good Morning Britain, and recognized in Fast Company's list of the World's Most Innovative Companies for 2024. Despite being a small team, we achieved remarkable revenue growth in our inaugural financial year.As a pioneer in the field, MAGIC AI provides users the unique experience to engage in workouts before an intelligent hologram mirror. Our proprietary computer vision software facilitates real-time form correction, rep counting, and live feedback, resulting in a personalized workout journey. Collaborations with top athletes allow us to create exclusive training content across various disciplines including sports, strength training, yoga, and dance, offering premium coaching without the associated costs.Backed by significant venture capital from leading multi-billion-dollar firms, our team includes accomplished professionals with successful startup exits, positioning MAGIC AI as a formidable player in the health tech space.About the PositionWe invite you to join our Data Science team, focusing on our advanced ReflectAI® tracking technology. This role reports to our CTO and involves collaboration with a talented group of professionals, all of whom have significant experience in the tech industry. This is a fulfilling opportunity to contribute to innovative projects.Your ResponsibilitiesEngage in close collaboration with fellow Data Scientists and the Engineering Team to enhance our ReflectAI® technology.Utilize MediaPipe and MoveNet for pose estimation, analyzing the coordinates provided by these libraries.Create algorithms to accurately compute metrics such as total reps, rep progress, rep speed, and form quality through coordination analysis.Develop and train new AI models while optimizing them for specific hardware accelerators.Apply statistical analysis techniques to reduce inaccuracies in complex occlusion scenarios.Work alongside the Product team to ensure that technical and product requirements are met effectively.Collaborate with Quality Assurance to troubleshoot and minimize bugs in staging and production releases.Facilitate the seamless and regular release of updates for our software.

About SwapAt Swap, we are revolutionizing modern commerce with our unique AI-native platform that seamlessly integrates backend operations with an innovative storefront experience. Our solution is designed for brands aspiring to sell anything, anywhere, by centralizing global operations and enabling intelligent workflows. With real-time data and capabilities, our products cover cross-border transactions, tax management, returns, demand planning, and our state-of-the-art agentic storefront. This empowers merchants with complete transparency and the confidence to make informed decisions.We are fostering a culture at Swap that emphasizes clarity, creativity, and a shared sense of ownership as we redefine the landscape of global commerce.About the RoleWe are seeking enthusiastic, detail-oriented, and adaptable Data Engineers to join our platform team during an exciting phase of growth. This role is ideal for proactive engineers who thrive in dynamic environments and are eager to take charge, contribute significantly, and collaborate closely with product teams.In this pivotal position, you will play a key role in designing, optimizing, and scaling our premier data platform, which fuels our advanced customer-facing agentic systems. You will engage proactively with Product Managers and stakeholders to advocate for best practices, ensuring our platform remains robust and poised for future advancements.This hands-on builder role is suited for knowledgeable and enthusiastic team players excited about the opportunity to accelerate and expand a greenfield platform.Key ResponsibilitiesData Pipeline Engineering: Develop, optimize, and sustain comprehensive end-to-end data pipelines for essential business operations. Prioritize low latency, strong observability, and effective alerting for batch and stream processing to guarantee data reliability.API Development: Support the design and implementation of new features within the API layer, collaborating with product teams to ensure efficient data access.Platform Contribution: Own specific components of the data platform, actively contributing technical enhancements for scalability, future readiness, and alignment with Swap's long-term product strategy.Data Quality & Governance: Implement and advocate for best practices in data quality to ensure the data's integrity and reliability.What We Would Like to SeeA minimum of 3 years of experience in data engineering or related roles, demonstrating a strong understanding of data systems.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Strong problem-solving skills and a passion for data-driven decision-making.

Join our innovative team at Synthesia as a Senior Data Engineer, where you will play a pivotal role in shaping the future of AI-driven video synthesis. As a key member of our data engineering team, you will design, implement, and maintain robust data pipelines that enable our advanced machine learning models to thrive. Your expertise will help us harness the power of data, ensuring high availability and performance. Collaborate with cross-functional teams to transform raw data into actionable insights that drive our product's success and enhance user experiences.

CoreWeave is revolutionizing the landscape of AI with its cutting-edge cloud infrastructure. Designed by innovators for innovators, our platform empowers organizations to harness the power of artificial intelligence seamlessly. With a reputation for excellence, we support leading AI laboratories, startups, and multinational corporations by providing unparalleled infrastructure performance coupled with in-depth technical expertise. Since our inception in 2017, we have grown significantly, becoming a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. As a Living Wage accredited employer, we are committed to fair compensation for all our employees.What You’ll Do:Join the Monolith AI Platform Engineering Team at CoreWeave, where you will play a pivotal role in constructing and scaling the data and workflow infrastructure that drives the most sophisticated engineering simulations and AI workflows. Our goal is to establish the premier AI test laboratory for the engineering sector, assisting clients in accelerating their scientific endeavors. You will work on everything from high-throughput data ingestion to feature pipelines, model training, and real-time inference, providing a reliable and high-performance data foundation trusted by industry leaders.The Staff Data Engineer will be instrumental in evolving Monolith’s data services and ETL capabilities. This involves transforming disparate engineering data into production-ready training and inference pipelines. You will collaborate with Product, Engineering, and Customer-facing teams to understand client data challenges and translate these into scalable, user-friendly data platform features.About the Role:We are on the lookout for a Staff Data Engineer who can take charge of Monolith’s data platform, managing everything from offline batch pipelines and substantial historical backfills to low-latency, real-time streaming data flows that enable online inference and feedback mechanisms. You will be responsible for defining our data architecture, advocating for data quality and lineage, and determining how customer data is processed within Monolith from raw ingestion to observable, governed, and reproducible training sets.You will primarily engage with internal teams across product management, customer success, and engineering to drive data solutions that meet our clients' needs efficiently.

Join 9fin as our Data Engineering LeadAt 9fin, we are revolutionizing the global debt markets with our cutting-edge AI platform, which oversees the largest asset class valued at over $145 trillion.Despite the vastness and critical importance of debt markets, they continue to operate on fragmented data sources, PDFs, and outdated manual processes. Our innovative platform consolidates proprietary credit data, in-depth analysis, and valuable workflows to streamline operations across the globe.Currently, 9fin supports over 300 esteemed institutions worldwide, including major banks, asset managers, private equity firms, law firms, and advisory services. We are experiencing rapid growth, particularly in the US, with exceptional retention rates driven by our deep workflow integration.We stand at a pivotal moment in our journey. With a proven product-market fit and increasing global demand, 9fin is on the fast track to becoming the leading platform for debt markets internationally.Your Role and ResponsibilitiesAs the Data Engineering Lead, you will be responsible for guiding the technical roadmap of our data platform, enhancing reliability, scalability, and engineering excellence. This is a dynamic hands-on role where you will both lead and mentor.Define the Data Platform Roadmap: Establish the technical direction and implement impactful improvements to our platform, focusing on reliability, cost-efficiency, developer experience, and scalability. You will prioritize and execute the strategic platform enhancements for the upcoming year.Develop Customer-Facing APIs & Feeds: Collaborate on the design and implementation of API-driven feeds and enrichment pipelines that evolve into product features and revenue opportunities.Enhance Orchestration in Dagster: Create and optimize asset-based pipelines, sensors, schedules, backfills, IO managers, and monitoring patterns that are resilient, idempotent, and user-friendly. Establish standard practices for incremental jobs, full refreshes, and reverse ETL.Streamline Data Ingestion: Refine and scale ingestion processes utilizing Airbyte OSS and DLT, addressing schema drift, connector health, rate limits, retries, checkpointing, and operational robustness to ensure seamless pipeline execution.Strengthen BigQuery Infrastructure: Lead the evolution of our best practices, partitioning & clustering strategies, slot/cost management, and query performance standards.Enhance Data Quality & Observability: Implement service-level objectives (SLOs) for data freshness, automated validation checks, data provenance, and proactive alerting to ensure reliability for the business and our clients.

Be Part of the AI Revolution in the Creator Economy!Fanvue is a leading force in the global creator monetization landscape, empowering creators through an innovative, AI-driven platform. Our mission is to enable creators to directly engage and earn from their audiences at scale. With our recent Series A funding, Fanvue has achieved an impressive milestone of over $100M in annual recurring revenue and continues to experience explosive growth, supporting countless creators and millions of fans worldwide.As we expand, the integration of AI into our engineering practices is becoming essential, driving developer efficiency, feature deployment, and code quality while ensuring safe and responsible use across our codebase. Your RoleWe are seeking an AI Developer Tooling Engineer to spearhead the application of AI within Fanvue's engineering team. This hands-on position is pivotal in transforming AI into a powerful ally for our engineers while mitigating risks associated with its use.You'll be responsible for defining our AI coding framework, constructing the necessary infrastructure and tools, and enabling our team to enhance their development speed through parallel processes, AI assistance, and refined workflows—all while upholding our high standards for quality, security, and maintainability. Your ResponsibilitiesAlign Fanvue's codebase with cutting-edge AI coding tools like Cursor and Claude Code.Define, standardize, and implement Fanvue's AI-assisted development stack across IDEs, pull request workflows, and CI.Develop and manage MCP servers and AI-ready infrastructure to facilitate reliable, context-aware code generation.Enable parallelized development workflows, empowering engineers to confidently review and deploy AI-generated code.Establish best practices for AI-assisted coding, reviews, and refactoring within the team.Create and maintain comprehensive documentation, playbooks, and training materials to promote adoption and safe usage.Track and report tangible improvements in developer productivity, including PR cycle times, throughput, and code quality metrics.Continuously assess emerging AI developer tools and vendors, establishing clear success criteria and contingency measures. Your ProfileA solid background in software engineering, particularly with TypeScript in production environments.Experience with AI tools and cloud infrastructures is a significant advantage.Strong problem-solving skills and the ability to navigate complex technical challenges.Excellent communication skills, with the ability to convey technical information to non-technical stakeholders.

Abound is changing how consumer lending works in the UK and beyond. By combining AI with Open Banking data, the company offers personal finance options that go beyond traditional credit scores. Each applicant is evaluated based on real financial habits and repayment history, aiming for fairer access to credit. Since launch, Abound has issued over £1.3bn in loans and kept default rates well below industry averages. Profitability came within 2.5 years. With more than £2bn in investment from Citi, GSR Ventures, Deutsche Bank, and others, Abound is recognized as one of Europe's fastest-growing fintechs. As the company expands into new markets and products, it seeks people eager to learn, take ownership, and grow alongside the team. Role overview The Data Engineer will join the Platform team in London, focusing on the development and improvement of Abound’s Data Lake. This position acts as a connector between Platform and Data Science, maintaining the infrastructure and data pipelines that drive decision-making across the business. The role is individual contributor level, offering autonomy and the chance to make a measurable impact. Main focus for the first 6–12 months Upgrade the Data Lake into a scalable, high-performance platform for analytics and data science. Migrate production workloads, including model calibration, ad-hoc analytics, and reporting, into the Data Lake. Redesign data structures to improve query speed, lower AWS costs, and ensure timely data availability. Collaborate closely with the Data Science team to support rapid experimentation and delivery through reliable data systems. Technology stack Cloud & Compute: AWS, ECS Fargate, AWS Lambda Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg Languages & Infrastructure as Code: Python, Spark, SQL Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab

Join a Transformative CompanyAt Palantir, we create cutting-edge software that empowers organizations to make data-driven decisions and optimize operations. Our innovative platforms enable partners to develop life-saving therapies, anticipate supply chain challenges, locate missing individuals, and much more.Your OpportunityAs a Forward Deployed AI Engineer, you will collaborate directly with clients to lead the Gen AI strategy and execution. Your role will involve crafting comprehensive end-to-end workflows, deploying them in production, and addressing complex real-world challenges at scale. You will play a key role in enriching the Palantir AIP product suite with insights gained from practical applications.Be at the forefront of expanding Palantir's reach and strategy into new markets and problem areas unlocked by Gen AI.Key ResponsibilitiesIn this position, you will function similarly to a hands-on CTO in an AI startup: leading small teams to deliver high-impact projects for our clients. Your daily tasks may include developing large-scale LLM workflows, engaging with customers to grasp their needs and shape their AI strategies, and most importantly, implementing solutions that drive tangible results in our partners' organizations.If you aspire to be an entrepreneur or a leader in Applied AI, Palantir is the ideal environment—surrounded by exceptional colleagues—to grow and refine your skills!

About the PositionJoin bluefishai as a Senior AI Engineer, where you will lead the charge in developing innovative LLM-powered products that are revolutionizing the marketing and advertising sectors. Your extensive knowledge in machine learning, large language models, and natural language processing will be crucial in designing, implementing, and enhancing our cutting-edge AI solutions.As the custodian of our LLM technology stack, you will collaborate with a diverse range of cross-functional teams, including application engineers, product managers, and designers, to create robust and impactful solutions that drive significant business results.This is an exciting opportunity to influence the future of AI technologies and contribute to real-world applications.Although this role is associated with our London office, we embrace flexibility with hybrid or remote work arrangements across the UK.

About the Role As a Staff AI Engineer at bluefishai, you will take on a pivotal role as a technical leader, driving the development of our LLM-powered products that are at the cutting edge of marketing and advertising technology. You will be instrumental in making architectural decisions, establishing quality benchmarks, and spearheading collaborative initiatives across multiple teams that yield tangible results. This position will empower you to shape the vision and execution of our data platform and LLM-driven products. You will oversee critical architectural aspects related to data pipelines, model integration, deployment, and evaluation. Your expertise will turn high-level product and business objectives into robust, scalable data solutions that provide measurable benefits for our Fortune 500 clients. This role encompasses both data backend and ML engineering, ensuring the reliability and cost-effectiveness of our pipelines while enhancing the performance of LLM-enabled features. You will elevate data literacy within the department through crafting and collaboration. Your responsibilities will include ensuring the health, cost management, and continuous improvement of key data products and platforms, working closely with full-stack engineers, product managers, designers, and devops to deliver reliable solutions that our customers can depend on. This is an exciting opportunity to influence the future of AI technologies and contribute significantly to impactful real-world applications. While this role is associated with our London office, we embrace flexibility with hybrid or remote work arrangements within the UK.

Senior Data EngineerLocation: London (Hybrid)About SwapSwap serves as the foundation for modern agentic commerce, being the only AI-native platform that seamlessly integrates backend operations with a progressive storefront experience.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations, fuels intelligent workflows, and enables margin-preserving decisions through real-time data and capabilities. Our product suite encompasses cross-border transactions, tax solutions, returns management, demand planning, and our cutting-edge agentic storefront, empowering merchants with full transparency and actionable insights.At Swap, we are cultivating a culture that emphasizes clarity, creativity, and shared ownership as we revolutionize the landscape of global commerce.About the RoleWe are seeking a dedicated and detail-oriented Senior Data Engineer to join our platform team as we swiftly advance our technology stack for a new, data-driven era at Swap. In this role, you will lead transformative initiatives by developing world-class data systems for the entire organization, while also contributing to the platform’s vision and advocating for internal best practices.This position calls for a knowledgeable, hands-on, and enthusiastic team player who is eager to accelerate and scale a greenfield project. If you thrive in a fast-paced, collaborative environment where your contributions can make a significant impact, we want to hear from you!ResponsibilitiesAPI Strategy & Development: Lead the strategy and implementation of our API layer to facilitate product access to essential data.Platform Technical Vision: Shape and influence the technical direction of Swap’s data platform to ensure readiness for future business growth.Data Pipeline Development: Manage our replication pipelines, ensuring optimal observability, latency, and alerting capabilities.Data Quality & Governance: Champion best practices to ensure our data is reliable and trustworthy as we scale, delivering top-tier products for Swap.What We Are Looking For5+ years of experience as a data engineer in customer-centric product environments.Proven proficiency in Python for data pipeline creation, orchestration, and API development.

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.