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software tools engineer

IMC Trading

<div>
 At IMC, technology is at the core of everything we do. Our innovative in-house software drives millions of trading decisions daily, allowing us to outperform the competition through faster, more effective decision-making.
 
 
 Based in Amsterdam, IMC's Trading Strategy Software Engineers deliver a wide variety of applications, systems and tools, including trading algorithm implementations, options pricing, volatility calculations, simulation frameworks, and data analysis &amp; visualization tools for traders.
 
 
 
 Your Core Responsibilities
 
 
 
 You will work together with traders, researchers, quants, and fellow engineers. You will take ownership of the end-to-end product development process for deliver high-impact projects -from requirements gathering to production deployment. Your goal is to deliver high-performance, reliable software using frequent iterations to get quick feedback and shorten our time-to-market. Key responsibilities include:
 
 
 <ul>
 <li>
 Close collaboration with traders to gain a deep understanding of Trading strategies and implement them optimally;
 </li>
 <li>
 Building cutting edge solutions by developing, testing, deploying, tuning, and maintaining a variety of applications, algorithms, new research infrastructures, and automation for Trading Teams;
 </li>
 <li>
 Continuously improving functional and operational sides of Strategy systems to enhance user experience and overall system performance.
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 At least 3 years of experience as a Software Engineer with excellent programming abilities;
 </li>
 <li>
 Solid understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, memory models, and concurrency models;
 </li>
 <li>
 Strong quantitative and analytical skills and a keen interest in applying them to the Trading field;
 </li>
 <li>
 Prior experience having worked in trading or related industries (HFT, MFT, exchanges, hedge funds etc)
 </li>
 <li>
 Ability to work independently, analyze business requirements, communicate with stakeholders, take full ownership of the solutions you build and deliver;
 </li>
 <li>
 Highly adaptable and able to thrive in uncertain, rapidly evolving environments;
 </li>
 <li>
 Master&rsquo;s or PhD degree (or equivalent experience) in Computer Science or a related field;
 </li>
 <li>
 Experience with JVM-based languages (Java, Kotlin) or Python;
 </li>
 <li>
 Advanced math and quantitative skills are a plus;
 </li>
 <li>
 Experience with and interest in building information-rich user-facing applications, GUIs, UXs is a plus;
 </li>
 <li>
 Experience with large-scale data and research pipelines compute clusters is a plus
 
 
 </li>
 </ul>
 In our current Tech stack we work with Java 21+ and Python 3 as the main programming languages to implement our Strategy software. We constantly evolve our technology stack and look for tools that best suit the problems at hand. If a new technology holds promise, we actively explore, adopt, and develop it.
 
 
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Trading Strategy Software Engineer

reddit

<div><div><div><div><div><div><div><div>Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.</div>
</div>
</div></div></div></div></div>Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.

Team Overview

We're building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch &amp; realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management.

We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems.

This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive.

What You'll Do
<ul>
<li>Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.</li>
<li>Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.</li>
<li>Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning</li>
<li>Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.</li>
<li>Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management</li>
<li>Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.</li>
</ul>
What You Bring
<ul>
<li>3+ years in data infrastructure/platform engineering or ML infrastructure platforms.</li>
<li>Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools.</li>
<li>Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies.</li>
<li>Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving.</li>
<li>Strong coding skills and ability to write clean, maintainable, well-tested code.</li>
<li>Experience building intelligent automation or agentic workflows for ML systems is a strong plus</li>
<li>Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus</li>
</ul>
Benefits:
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div>
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div></div>

Machine Learning Systems Engineer, Ads ML Platform

Katanox

<div>
 
 About Katanox
 
 
 
 
 
 Katanox is building the infrastructure layer for hospitality: software that connects hotels and travel buyers and moves money between them. Our platform brings&nbsp;
 
 distribution and payments
 
 &nbsp;into one workflow (contracting, connectivity, reconciliation, and settlement), so partners can operate with less fragmentation and fewer manual handoffs.
 
 
 
 
 
 For engineers, this means building reliable systems that handle complex B2B workflows and real financial constraints, with a focus on data integrity, auditability, security, and operational excellence. We&rsquo;re headquartered in Amsterdam with hubs in London and New York.
 
 
 
 
 
 Why join Katanox
 
 
 
 
 <ul>
 <li>
 
 Build software that moves real money
 
 : Work on Kotlin services that sit on the critical path for payments, reconciliation, and settlement.
 </li>
 <li>
 
 Solve hard problems, end-to-end
 
 : Own outcomes across data models, APIs, and the production realities (observability, reliability, compliance).
 </li>
 <li>
 
 High-trust team, high standards
 
 : Direct communication, strong engineering fundamentals, and a bias toward shipping and learning.
 </li>
 <li>
 
 In-person collaboration (hub model)
 
 : We do our best work together, spending regular time in Amsterdam, London, or New York to move faster and build trust.
 </li>
 <li>
 
 Growth-stage ownership
 
 : The surface area is big, and the team is lean; your decisions will shape the platform.
 </li>
 </ul>
 
 
 
 
 How we work
 
 
 
 
 
 A cornerstone of our culture is in‑person collaboration. We follow a &ldquo;hub&rdquo; model with unique hubs in Amsterdam, London, and New York, where we regularly collaborate face‑to‑face, onboard customers and colleagues, hold design sessions, and host events.
 
 
 
 
 
 We do not hire for strictly remote roles. We expect people to spend meaningful time in our hubs because this is how we maintain our culture, build trust, and move quickly together.
 
 
 
 
 
 We&rsquo;re also a&nbsp;
 
 financially regulated
 
 &nbsp;company. That means high standards for security, auditability, and decision-making. This means your work ships with the rigor and reliability you&rsquo;d expect from systems that move real money.
 
 
 
 
 
 Our values
 
 
 
 
 
 At Katanox, our values are the blueprint for how we work together and build our product.
 
 <ul>
 <li>
 
 Team over the individual, no ego:&nbsp;
 
 We prioritize the success of the whole team over individual agendas. We win together, share credit, and leave egos at the door.
 </li>
 <li>
 
 Data beats excitement:&nbsp;
 
 We welcome bold ideas, but we commit based on evidence. We use data, experimentation, and clear hypotheses to decide what to build.
 </li>
 <li>
 
 Dare to do:&nbsp;
 
 We are proactive, take smart risks, and move from talking to doing. We learn by shipping and improve through iteration.
 </li>
 <li>
 
 See it, own it, and close it:&nbsp;
 
 When we spot a problem or opportunity, we take responsibility to drive it to completion instead of assuming someone else will.
 </li>
 <li>
 
 We apply radical candor:&nbsp;
 
 We care personally and challenge directly. We give and receive honest feedback so we can grow faster as individuals and as a team.
 </li>
 <li>
 
 In person first, call second:&nbsp;
 
 We prioritize in‑person collaboration in our hubs to build trust, move quickly, and solve hard problems together.
 </li>
 <li>
 
 Build collaboratively:&nbsp;
 
 We actively involve the right people, share context early, and co‑create solutions across teams and disciplines.
 </li>
 <li>
 
 Iterate fast and pragmatically:&nbsp;
 
 We ship small, learn quickly, and avoid over‑engineering. We focus on solutions that work in reality, not just in theory.
 </li>
 </ul>
 
 
 
 
 About the role
 
 
 
 
 
 You'll work on the backend systems at the core of Katanox. These are the services that move money between hotels, travel buyers, and payment networks, and the infrastructure that keeps bookings, pricing, and reconciliation consistent across a fragmented industry. Expect to ship Kotlin services that handle real transactions, in real time, for real customers.
 
 
 
 
 
 This role is for someone who likes ownership and depth. You'll help shape architecture with other engineers, ship iteratively, and raise the bar for reliability and correctness in a regulated environment where a missed event is a failed reservation or a misrouted payout.
 
 
 
 
 
 What you will work on
 
 
 
 
 <ul>
 <li>
 Building distributed systems that move real money and real bookings between hotels, the world's largest travel agents, and payment networks, where a dropped event isn't a bug ticket, it's a failed reservation or a misrouted payout.
 </li>
 <li>
 Designing and operating high-availability components in a regulated environment, where "it usually works" isn't good enough. Think idempotency, exactly-once semantics, graceful degradation, and the kind of observability that lets you sleep at night.
 </li>
 <li>
 Working on the parts of the platform where scale is non-trivial: millions of searches per day, connectivity to a long tail of supplier and acquirer systems, and pricing/availability flows that have to stay correct under load.
 </li>
 <li>
 Going deep on a single domain (payments, distribution, contracting, reconciliation) while still understanding how the whole platform fits together, because the interesting problems at Katanox usually sit at the seams between two of them.
 </li>
 <li>
 Shaping architecture decisions, not just implementing them. We're still early enough that the choices you make this quarter will be load-bearing for years to come.
 </li>
 <li>
 Owning what you ship end-to-end: design, build, deploy, monitor, and improve. No throw-it-over-the-wall culture.
 </li>
 </ul>
 
 
 
 
 What we are looking for
 
 
 
 
 <ul>
 <li>
 You've built and operated production systems that mattered. Ideally distributed, ideally with real availability and consistency requirements. You know the difference between "passes the tests" and "behaves well at 3 am on a Sunday."
 </li>
 <li>
 Strong Kotlin or Java experience, and you're opinionated about why. You care about code that's simple, testable, and boring in the best way.
 </li>
 <li>
 You enjoy reasoning about hard problems like concurrency, failure modes, data consistency, system boundaries, and you can turn ambiguous business requirements into something that actually works.
 </li>
 <li>
 You want to work with smart, low-ego people who push you. We hire for genuine curiosity and craft, not credentials, and we expect you to make the people around you better.
 </li>
 <li>
 You're genuinely interested in the domain. Payments and travel distribution are messy, regulated, and full of edge cases. If that sounds tedious rather than interesting, this probably isn't the right role.
 </li>
 <li>
 You take ownership. When something is broken or unclear, you pick it up rather than file it under "someone else's problem."
 </li>
 <li>
 Solid fundamentals: data structures, algorithms, system design, testing.
 </li>
 <li>
 Fluent in English.
 </li>
 </ul>
 
 
 
 
 Tech stack snapshot
 
 
 
 
 <ul>
 <li>
 Backend: Kotlin, Ktor, Arrow-kt, Jooq, Postgres
 </li>
 <li>
 Frontend: React
 </li>
 <li>
 Infra: AWS, K8S
 </li>
 </ul>
 
 
 
</div>

Software Engineer

European Tech Recruit

<div>
 
 
 Senior Machine Learning Engineer
 
 
 
 
 
 
 European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented
 
 Senior Machine Learning Engineer
 
 to join their cutting edge future research group
 
 .
 
 
 
 
 
 
 As a Senior Machine Learning Engineer for their AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices.
 
 
 
 
 
 Responsibilities as
 
 Senior Machine Learning Engineer
 
 :
 
 <ul>
 <li>
 Rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency.
 </li>
 <li>
 Contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.
 </li>
 <li>
 Excellent Python programming skills demonstrated through relevant industry or academic experience.
 </li>
 <li>
 Proven experience with machine learning and frameworks such as PyTorch and hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines.
 </li>
 <li>
 Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++.
 </li>
 <li>
 Background in software development, incl. testing, debugging, and test-driven development.
 </li>
 <li>
 Ability to work in a multi-site software organization.
 </li>
 </ul>
 
 
 
 
 Desirable Experience:
 
 <ul>
 <li>
 Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques.
 </li>
 <li>
 Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
 </li>
 <li>
 Experience with optimization of algebraic operations in algorithms for HW cores.
 </li>
 <li>
 Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
 </li>
 <li>
 Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure.
 </li>
 </ul>
 
 
 
 
 If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
 
 
 
 
 
 
 By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).
 
 
</div>

Senior Machine Learning Engineer

Tribe28

<div>
 
 We are seeking a DevOps engineer who specializes in the integration and automation of software development and IT operations. As a DevOps engineer, you work to streamline the software delivery process, from development to deployment, by utilizing various tools and methodologies that help to automate and optimize workflows.
 
 
 
 
 
 Your primary responsibility is to facilitate collaboration between development and operations teams. You will use your expertise in software development, system administration, and automation to build and maintain automated systems that can deploy, manage, and monitor software applications in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, create, own, and maintain systems and service deployments
 </li>
 <li>
 Continuously improve infrastructure for better scalability, security, and
 </li>
 </ul>
 
 fault tolerance
 
 <ul>
 <li>
 Integrate DevOps methodology into development, deployment, and
 </li>
 </ul>
 
 operations lifecycle
 
 <ul>
 <li>
 Create super clean, well-structured, efficient deployment, monitoring, and
 </li>
 </ul>
 
 application management scripts
 
 <ul>
 <li>
 Enable rapid deployment of new product features with the necessary
 </li>
 </ul>
 
 safeguards to maintain stability, high availability, and performance
 
 <ul>
 <li>
 Optimize infrastructure and phase out legacy systems.
 </li>
 <li>
 Monitor and proactively troubleshoot cloud and infra resources.
 </li>
 <li>
 Share your knowledge with regular knowledge-sharing sessions
 </li>
 <li>
 Clear documentation of your work.
 </li>
 <li>
 Keep application compliance with IT risk policies
 </li>
 <li>
 Maintain access matrix
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong experience managing, maintaining, and automating infrastructure (IaC)
 </li>
 <li>
 Proficient in at least one higher-order scripting language (e.g. Python)
 </li>
 <li>
 Strong experience in Container technologies.
 </li>
 <li>
 Strong experience with Container Orchestration tools. (OpenShift, Kubernetes)
 </li>
 <li>
 Strong experience automating the integration and deployment of
 </li>
 </ul>
 
 software (preferably via Azure Devops)
 
 <ul>
 <li>
 Strong experience using logging and monitoring tools to improve observability
 </li>
 </ul>
 
 across systems (e.g.(Grafana, Kibana, Prometheus, Collected)
 
 <ul>
 <li>
 Experience with ansible and/or other configuration management systems.
 </li>
 <li>
 Experience with Databases (e.g. Oracle, Mssql).
 </li>
 <li>
 Experience with Cloud (Azure, AWS).
 </li>
 <li>
 Experience with Linux
 </li>
 </ul>
 
 
 
 
 Tribe28 offers a competitive salary and a dynamic work environment that fosters growth and creativity. Join this team if you want to be a part of something big. We are not just looking for an employee, we&rsquo;re looking for a problem solver and an innovator but mostly a collaborator. If you have a passion for IT and enjoy working on challenging projects that can and will inspire you, apply now and make something amazing!
 
</div>

DevOps Engineer

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>

Applied AI Engineer

Valsoft

<div>About M&amp;I Broadcast Services
M&amp;I Broadcast Services develops OmniPlayer and Nimbus, mission-critical software platforms used daily by radio and television broadcasters across Europe. Operating at the core of broadcast workflows, these solutions help media organizations manage, schedule, and deliver content in environments where reliability and performance are essential.
At a pivotal stage in its evolution, M&amp;I is modernizing both its products and its development approach. The company is embracing AI-enhanced software development to accelerate innovation, reduce delivery timelines, and help engineers navigate complex, mature systems more effectively.
M&amp;I Broadcast Services is part of Fluent Software Group (a Valsoft Corporation operating group), a global acquirer and operator of vertical market software businesses. We focus on specialized industries where expertise creates lasting advantages.
The Opportunity: AI-Native Software Engineer &ndash; Windows Applications
We&rsquo;re looking for a software engineer who enjoys solving complex technical challenges and leverages AI as a core part of how they learn, build, and deliver software. In this role, you&rsquo;ll take ownership of the Windows front-end of OmniPlayer while helping shape how software is developed across the organization.
Location: Hilversum, Netherlands (Hybrid)
What You&rsquo;ll Own
Windows Application Development<ul><li>
Own the Windows front-end of OmniPlayer, the core application used by broadcasters every day.</li><li>
Develop and maintain Windows applications primarily in C++ and C# .NET 8.0.</li><li>
Contribute to mission-critical features used in live production environments.</li><li>
Use AI tooling to accelerate understanding and evolution of a complex, mature codebase.</li></ul>
Backend Development &amp; Software Quality<ul><li>
Contribute to backend API services built in C++ and C# .NET 8.0.</li><li>
Participate in code reviews and help maintain high engineering standards.</li><li>
Support quality assurance efforts to ensure product reliability and stability.</li><li>
Collaborate closely with product and support teams to improve customer outcomes.</li></ul>
Innovation &amp; Continuous Improvement<ul><li>
Leverage tools such as Cursor, Claude Code, and similar AI-assisted development platforms daily.</li><li>
Help evolve engineering practices and development workflows across the team.</li><li>
Contribute to ongoing product modernization initiatives.</li><li>
Work closely with the Hilversum-based team to accelerate knowledge transfer and collaboration.
</li></ul>Who You Are<ul><li>
3+ years of professional software development experience.</li><li>
Hands-on experience developing software in C++, with the ability to work confidently in mature C++ codebases.
</li><li>Experience building and maintaining native Windows desktop applications in a professional environment.</li><li>
Active daily user of AI-assisted development tools such as Cursor, Claude Code, or equivalent solutions.</li><li>
Fast learner with the ability to become productive quickly in complex technical environments.</li><li>
Strong understanding of REST APIs, data integration, and OAuth authorization flows.</li><li>
Experience with multithreading and critical section management.</li><li>
Proficiency with Git and modern version control practices.</li><li>
Experience working with SQL databases such as MSSQL, PostgreSQL, MySQL, MariaDB, or similar technologies.</li><li>
Strong written and verbal communication skills in both Dutch and English.
</li></ul>Strongly Preferred<ul><li>
Experience with Embarcadero C++ Builder (VCL Framework).</li><li>
Experience with DevExpress VCL Framework.</li><li>
Exposure to Kubernetes, DevOps, or CI/CD pipelines.</li><li>
Experience building mission-critical software applications.</li><li>
Familiarity with media, broadcasting, or music industry software.</li><li>
Experience with GitLab and automated testing practices.
</li></ul>Why M&amp;I?<ul><li>
Work on mission-critical software used daily by broadcasters across Europe.</li><li>
Have direct influence on product evolution and engineering practices.</li><li>
Join a company actively investing in AI-enhanced software development.</li><li>
Enjoy the stability of a mature product while helping drive its future modernization.
</li></ul>Join Us
Join M&amp;I Broadcast Services and help build the next generation of broadcast software relied upon by media professionals across Europe every day.
We use AI-powered tools (including transcription and automated note-taking) during portions of our interview process to support a consistent and thorough candidate experience. Candidates who require alternative accommodation may request it at any stage of the recruitment process.
Fluent Software Group is committed to building diverse, equitable, and inclusive teams. We welcome applications from candidates of all backgrounds, identities, and experiences, and all qualified applicants will be considered without regard to race, gender, age, disability, religion, sexual orientation, or any other protected characteristic. 
 
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Requirements 
Benefits</div>

AI-Native Software Engineer - Windows Applications

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