Senior/ Staff Frontend Software Engineer   $150,000- $230,000 Equity | Hybrid (3 days/ week in Palo Alto) | Full- Time    Deeprec.ai has partnered up with a rapid developing HealthTech AI startup to expand its Frontend Engineering Team and shape the future of healthcare.  This is an opportunity to join a mission-driven team building innovative AI products that are redefining the healthcare space. Backed by leading investors, the company is looking for engineers who are excited to make a meaningful impact while working on cutting-edge technology.  What You’ll Do Build and enhance the frontend experience of their AI SaaS platform  Write clean, scalable code using modern frontend technologies  Optimise performance, usability, and scalability  Iterate quickly based on user feedback and analytics  Contribute to code reviews and platform architecture  Requirements Bachelor’s degree in computer science, Software Engineering, or related field  Strong experience with HTML5, CSS3, JavaScript (ES6 ), React, and Vite  Experience with Tailwind, Shadcn, responsive design, accessibility, and scalable UI components  Familiar with REST and GraphQL APIs, testing frameworks including Jest and Playwright, and Agile environments  Strong problem-solving, communication, and user-focused design skills  Able to work onsite in Palo Alto 3 days per week  Nice to have  5 years of frontend engineering experience  Experience with D3.js, Chart.js, Webpack, NPM, and GitHub Actions  Familiarity with scalable APIs, microservices, and production SaaS or AI platforms   Why Join  Join a mission-driven team building a category-defining HealthTech AI product  Work alongside a high-calibre team backed by leading investors  Competitive salary, equity, and comprehensive health benefits  Flexible hybrid working and an inclusive, innovation-focused culture

Machine Learning Engineer, LLM Evals & Agent SystemsLondon, HybridClapham Junction, 4 days onsite initiallyWe’re working with an early-stage AI company building production-grade agentic systems and workflow automation products. They are now hiring an AI Engineer to take ownership of their evaluation infrastructure and help shape the future direction of their AI capability.This is not a pure research role or prompt engineering position. The focus is production AI systems, eval frameworks, agent orchestration, and engineering reliability.You will work directly with founders and engineers to evolve their existing V1 eval framework into a scalable, production-ready V2 system integrated into deployment workflows and engineering pipelines.The environment is fast moving, highly technical, and suited to engineers who enjoy ownership, ambiguity, and building systems end to end.What You’ll Work OnDesigning and evolving LLM evaluation frameworks for production systemsBuilding eval infrastructure directly into deployment and engineering pipelinesImproving agent reliability, reasoning quality, and orchestration logicDefining prompting strategies, sub-agent interactions, and reasoning trade-offsMaking architectural decisions around latency, reasoning depth, performance, and reliabilityWorking closely with founders on product and technical directionHelping shape the long-term AI engineering function as the company scales What They’re Looking For2 to 5 years of backend or software engineering experience1 to 2 years of hands-on AI engineering experience in production environmentsExperience deploying LLM applications or agentic systems into productionStrong engineering fundamentals across APIs, backend systems, infrastructure, and architectureExperience designing evals, benchmarking systems, or AI testing workflowsAbility to translate business requirements into measurable evaluation frameworksComfortable discussing production failures, trade-offs, and engineering decisionsStrong ownership mentality and ability to operate in fast-moving environmentsNice To HaveExperience from start-ups or YC-style environmentsExposure to multi-agent systems or orchestration frameworksExperience integrating eval tooling into CI/CD or deployment systemsCustomer-facing or stakeholder-facing exposureSide projects or experimentation around evals, benchmarking, or agent systemsPackage0.5% equity30 days holiday plus bank holidaysHybrid working in Clapham JunctionOpportunity to grow into a future Head of AI position as the company scalesInterview ProcessIntroductory callFounder meetingTechnical architecture and eval discussionScenario-based onsite session

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.