Clinical AI Engineer

Who is Heidi Health?Heidi Health is at the forefront of developing an AI Care Partner that assists clinicians throughout the entire healthcare process, from documentation to patient care delivery.Our mission is to enhance healthcare capacity while ensuring the human element remains a priority. In just 18 months, our innovations have liberated over 18 million…

Join the Heidi Health TeamAt Heidi, we are on a mission to revolutionize healthcare with our innovative AI Care Partner, designed to assist clinicians throughout the entire care process—from documentation to effective delivery.Our goal is to double healthcare’s capacity while ensuring that care remains profoundly human. In just 18 months, Heidi has successfully reclaimed over 18 million hours for clinicians and facilitated more than 73 million patient visits. Currently, our platform supports over two million patient visits weekly across 116 countries and in more than 110 languages.Founded by healthcare professionals, Heidi unites a diverse team of clinicians, engineers, designers, and scientists, all driven by a common objective: to enhance the human connection pivotal to healthcare.With nearly $100 million in funding, we are rapidly expanding our presence in the USA, UK, Canada, and Europe, collaborating with leading healthcare systems such as the NHS, Beth Israel Lahey Health, and Monash Health.If you are ready to take on this exciting challenge, we invite you to apply!

Mentis is looking for dedicated Medical/Clinical Coding Specialists to join our innovative AI project. You will play a crucial role in translating medical questionnaires into SNOMED codes on our specialized labeling platform.As a coding specialist, you will work asynchronously with de-identified data from patient questionnaires, contributing significantly to the development and enhancement of AI models focused on automated clinical coding.Key Responsibilities:Questionnaire Coding & Mapping: Accurately map questionnaire items (5–15+ per questionnaire) to SNOMED codes, covering medications, conditions, allergies, reactions, side effects, and severity indicators.Quality Assurance & Data Structuring: Maintain a high standard of accuracy and consistency in applying medical codes as per established guidelines and project specifications.FHIR Data Integration: Assist in aligning coded data with FHIR-compliant structures (training and support will be provided).Platform-Based Labeling: Efficiently utilize our dedicated labeling platform for data review, coding, and validation.Feedback & Collaboration: Contribute to refining coding guidelines, clarifying ambiguities in source data, and enhancing AI-assisted mappings.

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.

About Indicium AI Indicium AI is a premier global consultancy specializing in AI solutions for the world's leading enterprises. With a proven track record across various sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, we provide unmatched clarity, speed, and capability in delivering AI at scale. Our team of over 600 AI experts supports more than 50 enterprise clients from 5 global locations, collaborating with top-tier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to achieve impactful business outcomes. Overview We are looking for a talented AI Engineer to join our team, responsible for designing, building, and deploying robust production-grade AI systems that leverage large language models. This unique position merges software engineering with AI implementation, focusing on developing scalable, reliable applications instead of model training or research. As part of your role, you will utilize cutting-edge LLM technologies to create sophisticated AI systems capable of solving complex real-world challenges through multi-agent orchestration, intelligent tool integration, and efficient production workflows. Your expertise will be pivotal in crafting the orchestration layer that ensures these systems are production-ready, effectively managing failure modes, optimizing agent collaboration, and providing consistent, reliable outputs at scale. You'll blend strong software engineering fundamentals with comprehensive knowledge of LLM capabilities, limitations, and best practices for building trustworthy non-deterministic systems. Responsibilities Design and implement production AI systems that incorporate LLMs, RAG pipelines, vector databases, and agentic frameworks. Develop evaluation frameworks to assess and monitor system performance, accuracy, and reliability. Create and maintain production-grade AI applications featuring clean code, robust error handling, APIs, and data pipelines. Implement, maintain, and evaluate retrieval systems, including vector/graph databases and ingestion pipelines. Establish feedback loops and observability processes to enhance system performance continuously. Craft effective prompts and optimize for latency, cost, and quality across various model providers and configurations. Required Skills and Experience Hands-on experience building applications with LLM APIs and a deep understanding of their functionalities. Proficiency in software engineering principles and practices. Experience with production-grade system design, implementation, and optimization. Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment. Familiarity with AI best practices and methodologies.

Heidi Health develops technology that connects clinicians and AI, with a focus on maintaining continuous and personal care. The team brings together healthcare professionals, engineers, designers, and creatives to design tools that let clinicians devote more time to their patients. Over the last 18 months, Heidi Health has enabled providers to recover more than 18 million hours, supporting 73 million patient visits across 116 countries. The platform now manages over two million patient visits each week around the globe. With nearly $100 million in funding, Heidi Health is expanding rapidly across the US, UK, Canada, and Europe. The company partners with major health systems, including the NHS, Beth Israel Lahey Health, and Monash Health.

Join the innovative team at Perplexity AI as an AI Infrastructure Engineer. We harness cutting-edge technologies, including Kubernetes, Slurm, Python, C++, and PyTorch, primarily within the AWS ecosystem. In this role, you will collaborate intimately with our Inference and Research teams to design, deploy, and enhance our extensive AI training and inference clusters.

Aircall develops an AI-powered customer communications platform that serves over 22,000 companies worldwide. The platform brings together voice, SMS, WhatsApp, and AI features to help teams increase revenue, resolve issues quickly, and scale customer-facing operations. With headquarters in Paris and offices in London and other major cities, Aircall continues to expand its reach and invest in AI innovation. The company values customer satisfaction, data-driven decisions, and meaningful results. Ownership, ongoing learning, and collaboration are central to the team culture. People who thrive at Aircall appreciate making a tangible impact within a supportive, team-focused setting. Role overview The AI Productivity Engineer joins the Engineering Productivity (EngProd) team in the London office. The focus is on building and deploying AI-powered tools that streamline engineering workflows. Day-to-day work includes reducing friction, automating repetitive engineering tasks, and integrating intelligent solutions into routine activities. This position is not research-oriented or customer-facing. Instead, the emphasis is on delivering practical, production-ready AI systems that engineers use internally. The tools and systems developed will directly improve engineering efficiency across the organization. This role fits someone who enjoys creating reliable systems that others depend on, with a focus on long-term value over following short-lived trends.

About UsAt Percepta, we are dedicated to revolutionizing essential industries through applied AI. Our goal is to harness cutting-edge technology to enhance sectors that drive the global economy, such as healthcare, manufacturing, and energy.To achieve this, we collaborate closely with top-tier clients, facilitating their AI transformation journeys. Our unique strengths include:Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit designed for the swift deployment of intelligent workflows.Strategic alliances with industry leaders like Anthropic, McKinsey, AWS, and more.Our rapidly expanding team comprises Applied AI Engineers, Embedded Product Managers, and Researchers, all driven by the mission to integrate AI into tangible improvements in everyday life.Percepta operates as a direct partnership with General Catalyst, a global transformation and investment firm.Role OverviewWe are seeking Applied AI Engineers to engage with customer executives, operators, and technical teams to devise and implement impactful AI systems. As we expand our footprint in Europe, your role will be pivotal in shaping our strategic direction and success in the region. Unlike many roles that focus on prototypes or laboratory projects, you will be responsible for designing, building, and deploying production-grade AI agents and workflows that generate substantial business value for our clients.Key ResponsibilitiesDefine AI Vision: Partner with client stakeholders to outline their long-term AI strategy and transformation roadmap.Identify Opportunities: Work backward from the long-term vision to highlight and prioritize specific AI applications that translate our ambitions into measurable business outcomes.Deliver Real Products: Quickly develop and deploy AI solutions that operate effectively in real-world scenarios with actual users and data.Enhance Our Core Product: Integrate insights from customer engagements into our Mosaic product, consistently introducing new features, patterns, and frameworks.

Role Overview bluefishai is looking for a Senior Applied AI Engineer to help shape how AI is implemented and integrated across the company. This position focuses on driving projects that improve developer productivity, streamline workflows, and introduce new product capabilities. The work is highly cross-functional and centers on delivering measurable business results. Key Responsibilities Lead initiatives that bring structure and clarity to AI adoption, setting standards for teams as they experiment with new approaches. Work closely with engineering, product, and leadership to identify impactful AI use cases and integrate them into the software development lifecycle. Advise on the application of emerging technologies, including agentic capabilities, to both products and internal processes. Mentor engineers, define best practices, and guide teams in adopting AI solutions that scale across the organization. Encourage collaboration and help align teams around practical, measurable solutions that boost productivity. Collaboration and Reporting This role reports directly to the VP of Engineering. Regular collaboration with engineering, product, and leadership teams is expected to ensure AI initiatives are impactful and aligned with business goals. Work Environment bluefishai is in the early stages of its AI journey, with a strong sense of curiosity and momentum. Teams are experimenting with different methodologies, and this role will be central in establishing effective, scalable AI practices across the company. Location This position is based in London or can be performed remotely within the UK.

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.

About Light.At Light, we are on a mission to transform outdated factory-era ERPs into dynamic, living software. Our Smart Financial Platform equips modern, global businesses with capabilities like automated accounting, real-time reporting, and financial workflows that evolve with their pace.Creating alongside our customers, we prioritize speed and craftsmanship. In a short span, we've evolved from a concept to a vital resource for renowned companies such as Lovable, Legora, and Keyshot. Our users don’t just work with Light—they enjoy using it.As a pioneering team, we are creating a new software category. Imagine engineers passionate about finance, designers focused on reconciliation, and operators treating finance as a product. If you’re enthusiastic about revolutionizing financial workflows, you’re in the right place.Supported by top-tier investors and guided by industry leaders, we are developing groundbreaking products with the freedom to innovate boldly and take ownership of our results. Join us in making Light the global standard for next-gen finance.The AI Platform Engineer RoleAs a member of the Foundation Team, which acts as the catalyst for our engineering organization, you will play a pivotal role in architecting our internal

Join V7 Labs as an AI Solutions Engineer, where you will play a crucial role in harnessing the power of artificial intelligence to develop innovative solutions that drive efficiency and enhance performance across various sectors. This exciting opportunity is perfect for tech-savvy individuals eager to work in a dynamic environment where creativity and technical expertise intersect.

Role overview ASOS Plc seeks a Senior AI Engineer based in London to create AI-driven solutions that enhance customer interactions with the ASOS platform. This position collaborates with teams across the company to address practical challenges through machine learning and artificial intelligence. What you will do Design, build, and deploy AI models that align with ASOS's business objectives Partner with engineering, product, and data teams to deliver integrated solutions Use advanced machine learning and AI techniques to improve both customer experience and operational processes

Role overview Paconsulting is hiring a Senior AI Engineer in London. This position shapes how artificial intelligence supports and advances the company’s services. The Senior AI Engineer partners with colleagues from different disciplines to build and deploy advanced AI models and algorithms. What you will do Design, develop, and implement AI models and algorithms Collaborate with cross-functional teams to integrate AI solutions into service offerings

Role overview The Senior Applied AI Engineer at Taktile will play a central part in building and refining AI-driven solutions for the company's product suite. This position requires direct involvement with AI models and regular collaboration with colleagues across different teams. The work will help guide both the technical and product direction at Taktile. What you will do Design, develop, and implement applied AI models to enhance Taktile’s products. Collaborate with engineering, product, and other teams to take AI features from initial idea to production deployment. Participate in shaping product and AI strategies through active contribution to team discussions and decision-making. Location This is an in-office role based at Taktile’s London location.

Join hyperexponential as an AI Engineer - PlatformAt hyperexponential, we're at the forefront of developing an AI-driven platform that empowers vital decision-making in a $7 trillion industry, guiding critical choices about risks and pricing strategies. Our innovative decisions influence significant outcomes: from successful space rocket launches to the rollout of autonomous vehicles and community recovery post-natural disasters.Historically, the insurance sector has relied on outdated tools to make billion-dollar decisions. We're revolutionizing this landscape. Our platform seamlessly integrates data, AI, and human expertise, streamlining the insurer's journey from submission to decision, enabling faster actions and bolder risk management.Supported by esteemed investors like a16z, Highland Europe, and Battery Ventures, we are expanding our reach globally. Nearly 50 of the world’s largest insurers trust us, enjoying zero churn and processing billions in premiums through our platform.What started as a single product has rapidly evolved into a multi-product, multi-territory powerhouse that enhances every aspect of pricing and underwriting in insurance. AI is central to our operations, from creating the first domain-specific AI peer programmer for insurance to reinventing workflows that transform industry practices.At hx, the difference lies in our people. Here, your impact is not constrained by titles or tenure; it is defined by the challenges you embrace and the discipline you exhibit. Surrounded by inspiring peers, you'll engage in some of the most impactful work of your career within a resilient organization.If this resonates with you, we invite you to help us shape the future.About the hxAI TeamAI is integral to our software development and decision-making processes. From advanced document intelligence to a specialized AI peer-programmer for actuaries and underwriters, hx is setting new standards for generative AI in the insurance sector.The AI Platform team is essential to this mission, as we design and operate the systems that facilitate safe, scalable AI training, deployment, evaluation, and monitoring. This includes model serving, data pipelines, observability, deployment automation, and compute orchestration.Collaborating closely with product and research teams, we convert rapid experimentation into robust, cost-effective, and developer-friendly production systems. Our success is reflected in quicker releases, improved model performance in real-world applications, and AI offerings that clients can rely on for critical decisions.

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.

Artificial Intelligence is increasingly essential across all sectors of society. At Scale AI, our mission is to expedite the evolution of AI applications. For the past eight years, we have been at the forefront of AI data innovation, driving some of the most groundbreaking advancements in AI, such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding, we are enhancing the application of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP).The SGP ML team is at the forefront of the AI revolution. We engage directly with clients to design state-of-the-art products utilizing the extensive proprietary research and resources cultivated at Scale. As an Applied AI Engineer, you will collaborate with clients to develop machine learning solutions tailored to their business challenges. Your responsibilities will span from constructing next-generation AI cybersecurity firewalls to transforming AI experiences in journalism and employing foundational genomic models for life-saving drug protein predictions. Daily data-driven experiments will yield critical insights regarding model capabilities and deficiencies, which you will leverage to enhance product performance. If you are passionate about shaping the future of the AI landscape, we are eager to hear from you!

Join StackOne:At StackOne, we are pioneering the future of SaaS and AI integrations. Supported by GV and Workday Ventures with $24M in funding, we empower developers of SaaS platforms and AI Agents to seamlessly integrate with a multitude of tools, enhancing functionality with scalable and precise solutions. Our platform boasts 25,000 pre-mapped actions across 200 connectors, alongside an AI-driven integration development toolkit that emphasizes security: featuring real-time architecture, managed authentication, and comprehensive observability.Join us on our ambitious journey towards revolutionizing agentic integrations.With an AI-native integration toolkit that ensures real-time execution and robust security measures, we are heavily investing in AI R&D. Our new lab focuses on developing specialized LLMs that excel in precision, reliability, and safety - crucial components for effective agentic execution.Your Role:As an AI Engineer, you will play a pivotal role in enabling users to integrate their preferred tools effortlessly with just one click, thanks to StackOne's innovative solutions.We seek a skilled Software Engineer with a solid foundation in AI production-grade applications, particularly with experience in working with LLMs (e.g., GPT, Anthropic, etc.).In this position, you will be responsible for delivering AI features and products throughout their lifecycle, collaborating closely with our dedicated AI team, which includes both AI researchers and engineers. You will report directly to the CTO.