applied ai engineer

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. 
 
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. 
 
Responsibilities<ul><li>
Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li><li>
Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li><li>
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li><li>
Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li><li>
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li><li>
Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Minimum 3 years of engineering experience</li><li>
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li><li>
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li><li>
Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li><li>
Solid understanding of cloud technologies, containerisation and building scalable AI applications</li><li>
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li><li>
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li><li>
Experience working with large datasets, particularly in relation to demand and supply forecasting</li></ul>
Bonus<ul><li>
Experience or strong interest in energy markets and trading strategies</li><li>
Understanding of weather forecasting, energy demand patterns, and production modelling</li><li>
Exposure to Natural Language Processing (NLP) or other related fields</li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Discovered MENA

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 
 
 
 
 
 This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 
 
 
 
 
 This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
 
 
 
 
 
 You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , machine learning engineering, or software engineering roles
 </li>
 <li>
 Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
 </li>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
 <li>
 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <ul>
 <li>
 Experience building RAG systems end-to-end, including retrieval pipelines and vector search
 </li>
 <li>
 Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
 </li>
 <li>
 Exposure to conversational AI systems, including speech or real-time interaction pipelines
 </li>
 <li>
 Experience working with modern AI inference infrastructure and deployment environments
 </li>
 </ul>
 
 
 
</div>

techtree

About the RoleA leading frontier AI company is looking for an Applied AI Engineer to join their Solutions team in Munich.This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.What You'll Do<ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul>How the Team Works<ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul>About You<ul><li>Fluent in English and German (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul>Nice to Have<ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul>Compensation<ul><li>Base salary + equity</li></ul>Job Type: Full-timePay: 61.504,42&euro; per yearApplication Question(s):<ul><li>Cover letter</li><li>Expected Salary</li></ul>Work Location: In person

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Revolut
 
 
 
 People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
 
 
 As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
 
 
 
 About The Role
 
 
 
 The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions &mdash; collaborating across Design, Engineering, and Data to build features our customers love.
 
 
 We&rsquo;re looking for a Lead Applied AI Engineer who can manage their product roadmap, including day-to-day operations, project execution, and risk assessment.
 
 
 From conception to launch and beyond, you&rsquo;ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.
 
 
 Up to shape what's next in finance? Let's get in touch.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Owning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologies
 </li>
 <li>
 Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions
 </li>
 <li>
 Leading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms
 </li>
 <li>
 Setting your team's goals, success metrics, and roadmap to align with company goals
 </li>
 <li>
 Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Experience developing and launching AI products/features from scratch
 </li>
 <li>
 High analytical and technical acumen, along with solid business sense and problem-solving skills
 </li>
 <li>
 Experience in a data science or machine learning role
 </li>
 <li>
 Experience owning machine learning projects, from design to implementation and iteration
 </li>
 <li>
 Great Python, SQL, or other programming language skills
 </li>
 <li>
 Hands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)
 </li>
 <li>
 Knowledge of version control, model deployment, and developer environments
 </li>
 <li>
 Evidence of impressive mathematical and statistical knowledge
 </li>
 <li>
 An entrepreneurial drive to never settle
 
 
 </li>
 </ul>
 Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
 
 
 
 Important Notice For Candidates
 
 
 
 Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
 
 
 <ul>
 <li>
 Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.
 </li>
 <li>
 Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
 
 
 </li>
 </ul>
 
 We won't ask for payment or personal financial information during the hiring process.
 
 If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
 
 
 By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.revolut.com Job Function: Engineering Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

myTomorrows

<div>About myTomorrows
myTomorrows is a global health tech company dedicated to breaking down barriers for patients seeking treatment options.
We strive to enable earlier and better treatment access by bridging the gap between those searching for possible options, and the companies who develop them. We work closely with patients, healthcare professionals, trial sites, patient advocacy groups, and BioPharma &ndash; connecting key stakeholders in the drug development ecosystem.
We&rsquo;ve developed a cutting-edge AI-powered technology platform that simplifies and streamlines access to drugs in development. To support our users and clients, we have a range of industry-expert specialized teams ready to help. Our services include clinical trial patient recruitment, Expanded Access Program management and Real-World Data collection.
With a global footprint spanning 134 countries, to date we&rsquo;ve supported over 17,000 patients, 3,000 physicians and 350 sites, earning the trust of 60+ BioPharma companies. In October 2025, we closed a &euro;25M investment with Avego Healthcare Capital to fuel our global ambitions and scale the business.
Join us in shaping the future of treatment access - making tomorrow&rsquo;s therapies accessible for people who need them today.<h2 class="jobSectionHeader">
The opportunity: Applied AI Engineer</h2>
As Applied AI Engineer at myTomorrows, you will help us become more AI-native in how we work, build, and deliver value to patients, physicians, trial sites and (bio-)pharma partners. Your primary focus is internal: the teams, workflows, and operational processes inside myTomorrows.
This is not a pure research role, and it is not a &ldquo;prompt engineer&rdquo; role. You are an experienced software engineer who knows how to build reliable systems, and who is experienced with the possibilities created by LLMs, agents, AI-assisted coding, retrieval, workflow automation, and internal tooling.
You will work as part of our AI Acceleration initiative: a small, high-leverage team focused on safely applying AI across the organization. You embed with internal teams, e.g. Operations, Regulatory, Commercial, Marketing, to find the highest-leverage points of intervention, build production-ready solutions, and leave behind systems that teams can own and operate without you.
A key part of the role is not just building things yourself, but helping myTomorrows learn how to build with AI. You will help define reusable patterns, guardrails, evaluation approaches, and engineering practices so that AI-assisted work becomes reliable, secure, maintainable, and scalable.
Given that most of our team is located in the Netherlands, we only consider candidates for this position who live within commuting distance of our office in Amsterdam.<h2 class="jobSectionHeader">
How you work</h2>
Each engagement follows the model of a &ldquo;Forward Deployed Engineer&rdquo;:
Insertion. When you start a mission, you sit with the people who do the actual work: not the people who manage them. You watch, you ask questions, and you map what's really happening: the tools, the manual steps, the tribal knowledge, the workarounds that nobody questions anymore. Your first deliverable is not code. It is a situational awareness map.
Discovery. From that map, you identify the highest-leverage intervention point: not the most technically interesting problem, but the one that, if solved, would make the most visible difference to the most people in the shortest time.
Delivery. You build production-capable solutions on real data with measurable success criteria defined upfront. You identify an internal champion in week one who will own the system after you leave, and you embed them in the work from the start.
Handoff. You leave behind a running system, not a prototype. You leave behind an eval framework and runbook so the system doesn't rot. And you leave behind an AI substrate &mdash; connectors, pipelines, and workflow patterns &mdash; that makes the next mission faster.<h2 class="jobSectionHeader">
What you&rsquo;ll do in this role</h2><ul><li>
Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations that solve real business problems by embedding with internal teams.</li><li>
Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, agentic workflows, prompt/context engineering and creating evals.</li><li>
Help teams translate ambiguous business problems into clear, testable, AI-assisted delivery plans.</li><li>
Build backend services, APIs, integrations, and internal applications using modern software engineering practices.</li><li>
Work closely with Product, Engineering, QA, DevOps, Data, Legal, Privacy, and Security to ensure AI-built software is safe, secure, observable, and maintainable.</li><li>
Design and implement evaluation approaches for AI systems, including test sets, human review loops, quality criteria, failure mode analysis, and monitoring.</li><li>
Create reusable playbooks, templates, prompts, Skills, MCPs and examples that help other teams adopt AI effectively.</li><li>
Help assess whether a solution should remain a lightweight internal tool, be transferred to a business owner, be hardened by Product &amp; Engineering, or be stopped.</li><li>
Stay up to date with the rapidly evolving AI engineering landscape and translate relevant developments into practical opportunities for myTomorrows.</li></ul><h2 class="jobSectionHeader">
What you bring to the table</h2><ul><li>
3+ years of professional software engineering experience, ideally in a product, platform, backend, fullstack, startup, or scale-up environment.</li><li>
Strong software engineering fundamentals. You have built and maintained real systems before (and before vibe-coding was thing), and you know that shipping reliable software is about more than generating code.</li><li>
Experience with backend development, ideally with Python and modern API development.</li><li>
Experience with relational databases such as MySQL, PostgreSQL, or Oracle.</li><li>
Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>
Strong understanding of testing, code review, observability, security, documentation, and maintainability.</li><li>
Hands-on experience with the modern essentials of AI agents, agentic engineering and AI coding tools: LLM APIs, agents, RAG, MCPs, Skills, workflow automation and AI-enabled product development.</li><li>
Ability to work independently in ambiguous environments, while communicating clearly with technical and non-technical stakeholders.</li><li>
Strong product sense: you care about solving the actual problem, not just using the newest tool.</li><li>
A pragmatic startup mentality: you can move fast, make sensible trade-offs, and know when to prototype, when to harden, and when to stop.</li><li>
Excellent English communication skills.</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with FastAPI, Pydantic, SQLAlchemy, uv, ruff, pre-commit, GitHub Actions, or similar tools.</li><li>
Experience with AWS-native architectures, infrastructure as code, Terraform, serverless, Kubernetes, or cloud-native platform work.</li><li>
Experience with frontend development, especially Angular, React, TypeScript, or fullstack personal projects.</li><li>
Experience building internal tools, developer tools, workflow automation, or operations tooling.</li><li>
Experience with AI evaluation frameworks, model monitoring, prompt/version management, or human-in-the-loop review systems.</li><li>
Experience with healthcare, pharma, clinical research, regulated environments, privacy-sensitive data, or compliance-heavy workflows.</li><li>
Experience with tools such as Claude Code, Codex, Cursor, GitHub Copilot, LangChain/LangGraph, LlamaIndex, n8n, or similar AI/workflow platforms.</li></ul><h2 class="jobSectionHeader">
What success in the first 6 months looks like</h2><ul><li>
You have built trust with Product, Engineering, DevOps, Data, and business stakeholders by delivering useful AI-enabled solutions without creating unmanaged technical debt.</li><li>
You have delivered 2-3 high-impact AI Acceleration missions, such as an internal tool, workflow automation, agentic engineering improvement, or AI-assisted product delivery pilot.</li><li>
You have shipped production-capable software with clear ownership, tests, documentation, observability, and security considerations.</li><li>
You have created reusable templates, prompts, scripts, or examples that other teams can use.</li><li>
You have helped teams understand where AI is genuinely useful, where it is not ready yet, and what guardrails are needed.</li><li>
You have contributed to a culture where AI-assisted engineering is judged by objective production outcomes: correctness, security, maintainability, observability, and business value.</li></ul><h2 class="jobSectionHeader">
Current tech stack</h2>
We are fully cloud-native, leveraging AWS and adopting a lean, API-first product development approach driven by modern cloud technologies and thoughtful design practices. Our current Backend Engineer posting describes a stack including Python, FastAPI, Pydantic, SQLAlchemy, MySQL/PostgreSQL, Angular, GitHub Actions, Renovate, ruff, uv, pre-commit, Docker, Docker Compose, Kubernetes, Terraform, DynamoDB, and Neo4j.
As Applied AI Engineer focused on internal use cases, you will often work in lighter-weight stacks like scripts, Skills, MCPs, APIs, workflow tools, internal dashboards rather than full product infrastructure. Familiarity with the product stack is useful context, but your day-to-day tooling will be shaped by the mission.<h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Impactful work that helps patients gain access to potentially lifesaving treatments.</li><li>
A unique opportunity to help define how a HealthTech scale-up becomes AI-native.</li><li>
International work environment, scale-up energy, and a flat organizational structure that encourages creativity and accountability.</li><li>
Competitive salary, annual performance bonus, and an Employee Stock Option Plan.</li><li>
Great career development opportunities in a fast-growing company.</li><li>
Learning and development budget alongside internal knowledge-sharing sessions.</li><li>
Attractive pension plan, full premium covered by myTomorrows.</li><li>
Hybrid working model.</li><li>
Policies to support working parents.</li><li>
Healthy lunch at the thriving Amsterdam office.</li><li>
Unlimited access to professional guidance by certified psychologists via OpenUp.</li><li>
Monthly events hosted by our vibrant Culture Club as well as an annual myTomorrowland company-wide celebration.</li></ul>
Equal opportunities
myTomorrows is an Equal Opportunity Employer and, beyond upholding discrimination-free practices, we are committed to cultivating a workplace where difference and diversity are protected and celebrated. The best work comes from our best selves, and we go to great lengths in supporting our team members to be just that.</div>

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