AI Data Engineer-  HealthTech AI  Up to $180,000 | U.S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection.This is a remote Data Engineering role focused on building and maintaining scalable pipelines that ingest, clean, and structure large, complex healthcare datasets. What You’ll DoWork with Data Scientists and ML Engineers to define data needs for LLM and ML models.Build and maintain scalable data pipelines for large healthcare datasets.Ensure data quality through cleaning, validation, and monitoring.Design efficient data structures and schemas for model training and use.Source new data while ensuring compliance with healthcare regulations (e.g., HIPAA) RequirementsBachelor’s degree in Computer Science, Engineering, or a related field.Experience as a Data Engineer working with large-scale or big data systems such as Apache SparkStrong programming skills in Python, Scala, or Java.Experience with ETL pipelines, data warehousing, and data modelling.Familiarity with cloud platforms (AWS, GCP, or Azure) and tools like Apache Spark.Strong problem-solving skills Nice to HaveMaster’s degree in Computer Science, Engineering, Data Science, or a related field.Experience working with healthcare data and standards such as FHIR or HL7.Familiarity with machine learning concepts and LLM fine-tuning workflows.Experience using data orchestration tools such as Apache Airflow. Why Join?Help shape the future of healthcare by building AI that improves early cancer detection and saves lives.Work on high-impact, real-world AI used directly in clinical settings at scale.Competitive salary, benefits, and flexible remote/hybrid working options.Join a mission-driven, fast-growing team focused on innovation and health equity.Continuous learning with exposure to cutting-edge AI, ML, and healthcare technologies.

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day

A rapidly scaling European technology business is undertaking a company-wide AI & Automation transformation designed to embed AI into the operational core of the organization. To lead this initiative, the company is seeking an experienced AI Systems Lead to define the internal AI operating model, architect enterprise-wide agentic systems, and guide the responsible adoption of AI across the business. This is a senior leadership opportunity combining AI architecture, governance, engineering strategy, and operational transformation. The Opportunity You will act as the senior architect for the organization’s AI transformation programme — defining both the technical foundations and operational standards that govern how AI is deployed internally. You will lead the design of scalable multi-agent systems, establish practical AI governance frameworks, and drive adoption of AI tooling across business functions including Operations, Customer Support, Sales, Product, and Engineering. What You’ll Own AI Governance & Operating StandardsDefine and maintain the company-wide AI policy and operational frameworkTranslate regulatory requirements such as GDPR and the EU AI Act into practical internal standards and workflowsEstablish guardrails, governance models, and best practices for responsible AI usagePartner with leadership and operational stakeholders on AI risk, compliance, and adoption strategyEnterprise AI ArchitectureArchitect and steward the organization’s internal AI operating layer and multi-agent ecosystemDesign scalable agentic architectures connecting knowledge systems, operational tools, and collaboration platformsDefine reference architectures and engineering standards for AI teams across the businessGuide system interoperability, orchestration patterns, memory models, and tooling standardsAI Enablement & AdoptionLead the rollout and operationalization of AI tooling across the companyIdentify opportunities where agentic workflows can create measurable operational valueTrain and enable teams on AI best practices, workflows, and adoption strategiesDrive ongoing AI enablement initiatives and cross-functional collaborationRequired Experience6 years of engineering, AI systems, or platform architecture experienceStrong senior-level experience designing and deploying agentic AI systemsProven track record shipping AI workflows and automation systems to real users within fast iteration cyclesDeep hands-on experience with the Claude ecosystem is essential, including:Agent SDKsClaude CodeTool use and orchestrationMCP architecturesSub-agentsSkills and collaborative workflowsStrong understanding of AI governance, compliance, and operational risk managementExperience translating frameworks such as GDPR or the EU AI Act into practical operational policiesStrong stakeholder communication skills across technical and non-technical audiencesFluent English requiredPreferred ExperienceExperience building enterprise-scale multi-agent systemsBackground in AI operations, internal platforms, or automation strategyExposure to modern orchestration frameworks and AI infrastructure toolingExperience operating in regulated or compliance-sensitive environmentsGerman language skills strongly preferredIdeal CandidateTechnically deep but operationally pragmaticComfortable balancing innovation with governance and risk managementAble to influence senior leadership while remaining hands-on technicallyStrong systems thinker with a product and adoption mindsetExcited by building AI infrastructure that becomes foundational to how a company operatesWhy Join?Opportunity to architect AI strategy and systems at enterprise scaleExecutive sponsorship and genuine organizational commitment to AI transformationHigh-autonomy leadership role with real budget and mandateSmall, high-performing team operating at the forefront of applied AIRemote-friendly across DACH / EUBuild foundational systems that shape the future operating model of the businessFor a confidential discussion regarding this opportunity, please apply directly.

A fast-growing European technology platform is building an internal AI & Automation function designed to transform how teams operate across the business. As part of this initiative, the company is seeking an Agentic Engineer to design, build, and iterate intelligent AI agents used by real internal teams every day. This is a hands-on engineering role focused on practical AI systems — not experimental prototypes. You will work closely with senior AI leadership and platform engineering teams to deliver production-ready agents that improve workflows, automate repetitive tasks, and create measurable operational value. The Role You will focus on what matters most in modern AI systems: building useful agents that people actually adopt. Working within fast iteration cycles, you’ll design and ship AI agents, continuously improve them based on user feedback, and retire solutions that no longer deliver value. The environment is highly collaborative, fast-moving, and product-oriented. What You’ll DoDesign, build, and deploy internal AI agents and automation workflowsDefine agent scope, memory, tool usage, orchestration logic, and user interaction patternsBuild and iterate within rapid development cycles, typically 2–4 weeksWork from established AI architecture and reference patterns provided by senior AI leadershipConsume internal data and infrastructure services to power agent workflowsMaintain and improve an internal catalog of AI agents and automationsCollaborate directly with operational teams to gather feedback and improve usabilityMonitor agent effectiveness, identify failure modes, and optimize performance over timeRetire or redesign agents when they no longer provide meaningful business valueRequired ExperienceApproximately 2–4 years of software engineering or AI engineering experienceStrong Python development skillsHands-on experience building AI agents and agentic workflowsPractical experience with the Claude ecosystem is essential, including:Agent SDKsClaude CodeTool use and orchestrationMCP serversSub-agentsSkills and collaborative workflowsExperience shipping real working AI tools, products, or side projectsStrong understanding of user-centric product thinking and usabilityFluent English requiredNice to HaveExposure to frameworks such as LangGraph, CrewAI, or AutoGenOpen-source contributions or personal AI projectsStartup or fast-paced product development experienceGerman language skillsIdeal CandidateCurious, highly practical, and execution-focusedEnjoys shipping quickly and learning from real user feedbackInterested in solving human workflow problems — not just model experimentationComfortable operating with autonomy and ownershipStrong portfolio or side-project work highly valued, including independently built AI agentsWhy Join?Build production AI systems used daily across a real businessWork with a modern AI stack and emerging agentic architecturesSmall, highly autonomous engineering teamFast iteration cycles with visible impactRemote-friendly across DACH / EUOpportunity to grow rapidly within an AI-first transformation environmentFor a confidential discussion regarding this opportunity, please apply directly

A rapidly scaling European technology platform operating at the intersection of SaaS, payments, and operational software is undertaking a major AI and automation transformation programme — embedding AI into the core workflows of the business. As part of this strategic initiative, the company is seeking an AI Solutions Engineer to help design, build, and operationalize internal AI systems and agentic tooling across multiple business functions. This is a highly cross-functional role combining AI engineering, automation architecture, internal platform development, and stakeholder partnership. The Opportunity You will help shape the company’s internal AI capability from the ground up designing how knowledge flows across the organization, building internally hosted AI tooling, and enabling teams to deploy practical AI agents that create measurable operational impact. This role is ideal for someone who combines strong technical execution with product thinking, communication skills, and the ability to operate independently in fast-moving environments. What You’ll Own AI Knowledge & Information ArchitectureDesign the operating model for internal knowledge management and AI-ready information systemsDefine standards and governance for how information is structured, maintained, and surfacedPartner with stakeholders across departments to improve data accessibility and usability for both people and AI agentsBuild scalable foundations for enterprise-wide AI adoptionInternal AI Tooling & AutomationArchitect and develop internally hosted AI tools and workflowsReduce reliance on fragmented third-party SaaS solutions by building tailored in-house capabilitiesCreate intelligent systems aligned to real operational workflows and business processesDevelop scalable AI infrastructure supporting long-term automation initiativesAgentic Workflow DevelopmentPartner with functions including People, Sales, Customer Success, Finance, Legal, and OperationsScope, design, and deploy practical AI agents and automation workflowsEnable teams to extend and maintain their own tooling over timeDrive adoption through training, collaboration, and clear communicationRequired ExperienceApproximately 5 years of experience in AI engineering, data engineering, ML infrastructure, integrations, or automation-focused software engineeringStrong hands-on experience building and shipping AI-powered internal tools and workflowsProven experience delivering agentic systems or AI automations in fast iterative cyclesStrong Python and SQL skillsExperience integrating modern SaaS platforms using OAuth-based architectures and APIsAbility to write clear technical and solution specificationsStrong communication skills with both technical and non-technical stakeholdersFluent English requiredEssential Technical Experience Candidates must have strong practical experience with:Claude platform ecosystemAgent SDKs and AI orchestration frameworksTool use and agent workflowsMCP architecturesSub-agents and collaborative AI workflowsBuilding internal AI systems with real operational usersIdeal ProfileSelf-starter who identifies opportunities independently and drives executionComfortable operating across product, engineering, and business teamsStrong stakeholder management and relationship-building skillsAble to challenge assumptions and recommend practical solutions rather than automating unnecessarilyExperience working in high-growth or transformation environments preferredGerman language skills are a plusWhy Join?Opportunity to shape AI strategy and tooling at enterprise scaleSignificant autonomy, ownership, and visibilityLeadership team fully committed to meaningful AI adoption and measurable ROISmall, high-impact team with real budget and executive supportRemote-friendly environment across DACH and the wider EUBuild AI systems that directly influence how the business operates day-to-dayFor a confidential discussion regarding this opportunity, please apply directly.

A fast-growing deep-tech company operating in the advanced sensing, AI, and real-time analytics space is seeking a skilled Data Engineer to help build the next generation of data and ML infrastructure powering mission-critical intelligent systems. This role sits at the intersection of high-frequency sensor data, machine learning infrastructure, cloud platforms, and real-world edge deployments. You will work closely with engineering and ML teams to build scalable data systems that transform complex telemetry into actionable intelligence. The Role As a Data Engineer, you will design and maintain robust data pipelines and infrastructure supporting large-scale sensor ingestion, analytics, and machine learning workflows. You’ll contribute across the full data lifecycle — from edge-to-cloud ingestion through training data preparation and operational analytics — within a highly collaborative, engineering-led environment. Key ResponsibilitiesDesign and implement scalable data pipelines for ingesting, processing, and delivering high-frequency sensor and telemetry dataBuild architectures supporting both real-time stream processing and large-scale batch analyticsOwn core data platform infrastructure including time-series databases and object storage systemsDevelop ML data pipelines including:dataset preparationlabeling workflowsfeature storesversion-controlled training datasetsDefine and enforce data schemas, contracts, and quality standards across distributed data sourcesDesign cloud-side data systems optimized for bandwidth-constrained edge environmentsBuild internal dashboards, APIs, and analytics tooling to support engineering and product teamsSupport field data collection activities including deployment and management of sensor datasetsCollaborate cross-functionally with Embedded, RF, Signal Processing, and ML Engineering teamsMonitor and optimize pipeline performance to ensure reliable low-latency data deliveryRequired ExperienceBachelor’s or Master’s degree in Computer Science, Data Engineering, or related discipline3 years of experience in Data Engineering, ML Infrastructure, or backend data systemsHands-on experience with data processing technologies such as Kafka, Spark, Flink, or similar frameworksExperience working with time-series or event-driven data at scaleStrong understanding of data modeling, schema management, and production data quality practicesExperience with AWS (or similar cloud platforms) and infrastructure-as-code methodologiesFamiliarity with CI/CD pipelines and automated testing for data workflowsStrong English communication skillsPreferred ExperienceBackground working with IoT, embedded systems, or hardware-generated dataUnderstanding of edge computing and on-device data reduction strategiesExperience supporting ML feature engineering and training data infrastructureFamiliarity with event-driven architectures and real-time distributed systemsExposure to regulated, security-sensitive, or mission-critical environmentsStartup or high-growth company experienceWhy Join?Work on cutting-edge AI and sensing technologies with real-world impactSolve complex engineering challenges involving real-time data and intelligent systemsCollaborate with highly technical multidisciplinary teamsInfluence the architecture of next-generation ML and analytics platformsJoin a fast-moving, innovation-driven environment with significant growth potentialFor a confidential discussion regarding this opportunity, please apply directly.

A high-growth European deep-tech company operating at the forefront of AI and next-generation infrastructure is seeking a senior Enterprise Account Executive to drive strategic enterprise growth across Germany. Backed by leading global investors and recognized internationally for breakthrough innovation in AI efficiency and model optimization, the company is scaling rapidly across Europe and global enterprise markets. Its proprietary technology enables dramatic reductions in LLM size and inference costs while maintaining production-grade performance helping enterprises deploy AI faster, greener, and more economically. The Opportunity You will lead strategic enterprise engagements with major German organizations, partnering with executive stakeholders to identify transformational AI opportunities and shape long-term commercial partnerships. The role combines:Strategic enterprise salesConsultative solution developmentExecutive relationship managementGo-to-market expansionComplex deal leadershipYou will work closely with technical and product teams to design tailored AI and infrastructure solutions aligned with customer business priorities. Key Responsibilities Enterprise Sales & Revenue GrowthOwn the full enterprise sales lifecycle from discovery through negotiation, close, and expansionBuild and close complex, high-value enterprise dealsDrive strategic revenue growth while developing long-term customer partnershipsManage multi-stakeholder engagements across business and technical teamsStrategic GTM & Market ExpansionDevelop regional go-to-market strategies across priority verticalsIdentify opportunities within AI, infrastructure, and advanced enterprise technology initiativesRepresent the organization at senior executive and technical levelsExpand presence within key German enterprise accountsConsultative Solution SellingLead value-led conversations focused on business transformation outcomesPartner with executives to uncover both explicit and latent AI opportunitiesCo-create enterprise AI roadmaps and tailored solution strategiesTranslate complex technical capabilities into clear commercial value propositionsCross-Functional LeadershipCollaborate closely with engineering, research, product, and solutions teamsLead commercial coordination across complex deal cyclesProvide market insight and customer feedback to support product directionRequired Experience10 years’ experience in enterprise sales, strategic accounts, or consultative technology salesProven success closing complex enterprise deals in the €500K–€5M rangeStrong executive presence with experience engaging C-level stakeholdersDeep understanding of German enterprise buying environments and stakeholder dynamicsNative German and fluent English requiredPreferred BackgroundExperience selling AI, infrastructure, cloud, or highly customized technology solutionsExisting relationships across enterprise sectors including finance, energy, manufacturing, telecom, or industrialsConsulting, systems integration, or complex solution-sales backgroundExperience helping scale new markets or high-growth technology businessesWhy This Role?Join one of Europe’s most exciting deep-tech growth storiesWork with cutting-edge AI and LLM optimization technologiesInfluence enterprise AI transformation at scaleHighly competitive compensation package including strong commission structure and signing bonusInternational, collaborative, innovation-led culture