ai developer

Workato

<div>
 
 About Workato
 
 
 
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 
 
 
 Why join us?
 
 
 
 Ultimately, Workato believes in fostering a
 
 flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 
 . We are driven by
 
 innovation
 
 and looking for
 
 team players
 
 who want to actively build our company.
 
 
 But, we also believe in
 
 balancing productivity with self-care
 
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 
 
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 
 
 
 Also, Feel Free To Check Out Why
 
 
 
 <ul>
 <li>
 Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
 </li>
 <li>
 Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
 </li>
 <li>
 Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
 </li>
 <li>
 Quartz ranked us the #1 best company for remote workers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 We are looking for a
 
 Staff AI Engineer
 
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 
 
 <ul>
 <li>
 Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
 </li>
 <li>
 Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
 </li>
 <li>
 Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
 </li>
 <li>
 Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
 </li>
 <li>
 Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
 </li>
 <li>
 Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
 </li>
 <li>
 Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
 </li>
 <li>
 Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
 </li>
 <li>
 Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
 
 
 </li>
 </ul>
 
 Example Projects
 
 
 
 <ul>
 <li>
 Building an evaluation and observability framework for AI model performance and reliability.
 </li>
 <li>
 Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
 </li>
 <li>
 Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
 </li>
 <li>
 Designing AI services that process and reason over high-volume real-world data at scale.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications / Experience / Technical Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 5+ years of experience as a Software Engineer, with strong proficiency in Python.
 </li>
 <li>
 Proven track record of building and maintaining production-grade systems using Python.
 </li>
 <li>
 Strong understanding of distributed systems, API design, and data-driven architectures.
 </li>
 <li>
 Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
 </li>
 <li>
 Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
 </li>
 <li>
 Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
 </li>
 <li>
 Python
 </li>
 <li>
 FastAPI
 </li>
 <li>
 LLM APIs (OpenAI, Anthropic, Qwen, OSS)
 </li>
 <li>
 LiteLLM
 </li>
 <li>
 Qdrant
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 ElasticSearch
 </li>
 <li>
 Langfuse
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 ArgoCD
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
 </li>
 <li>
 Background in developer platforms or AI infrastructure services.
 </li>
 <li>
 Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
 </li>
 <li>
 Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
 </li>
 <li>
 Experience developing enterprise-scale SaaS or distributed backend systems.
 </li>
 <li>
 Contributions to open-source projects in Python, AI, or infrastructure engineering.
 
 
 </li>
 </ul>
 
 Soft Skills / Personal Characteristics
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
 </li>
 <li>
 Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
 </li>
 <li>
 Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
 </li>
 <li>
 Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
 
 
 </li>
 </ul>
 
 (REQ ID: 2460)
 
</div>

Staff AI Engineer

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

<div>
 
 About The Role
 
 
 
 What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Amsterdam to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products &mdash; from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.
 
 
 This is a fully remote, flexible contract role. Whether you're a seasoned engineer looking for meaningful project work or a strong developer ready to apply your skills to AI-adjacent infrastructure, this is your chance to build things that matter.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust back end services, APIs, and data pipelines
 </li>
 <li>
 Build scalable, high-performance server-side architecture to support AI training and inference workloads
 </li>
 <li>
 Write clean, well-documented, and testable code following engineering best practices
 </li>
 <li>
 Integrate with databases, message queues, cloud services, and third-party APIs
 </li>
 <li>
 Optimize system performance, reliability, and scalability as usage grows
 </li>
 <li>
 Collaborate asynchronously with distributed teams of engineers, researchers, and product leads
 </li>
 <li>
 Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions
 </li>
 <li>
 Work independently on task-based and project-based assignments on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more back end languages &mdash; Python, Go, Java, Node.js, Rust, or similar
 </li>
 <li>
 Solid understanding of RESTful API design, microservices architecture, and distributed systems
 </li>
 <li>
 Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
 </li>
 <li>
 Comfortable working with cloud platforms such as AWS, GCP, or Azure
 </li>
 <li>
 Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
 </li>
 <li>
 Strong problem-solving skills and the ability to debug complex systems independently
 </li>
 <li>
 Self-motivated, reliable, and effective when working asynchronously without close supervision
 </li>
 <li>
 Clear communicator who can document decisions and collaborate across time zones
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience building infrastructure for machine learning or AI systems
 </li>
 <li>
 Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
 </li>
 <li>
 Background in performance optimization, caching strategies, or high-throughput systems
 </li>
 <li>
 Knowledge of authentication, authorization, and security best practices
 </li>
 <li>
 Experience with serverless architectures or event-driven design patterns
 </li>
 <li>
 Contributions to open-source projects or a strong portfolio of personal/professional work
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI infrastructure projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with access to meaningful, technically challenging work
 </li>
 <li>
 Build systems at the intersection of software engineering and artificial intelligence
 </li>
 <li>
 Collaborate with a global network of talented engineers and researchers
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Back End Developer (AI Infrastructure)

GreenFlux

<div>About Greenflux
Greenflux is a leading provider of EV charging software and solutions. Over the years, our platform has evolved with many powerful features which demands clear, structured, and user-friendly documentation available for customers to fully utilize these capabilities.
We are looking for a skilled Technical Writer to bring clarity, structure, and consistency to our technical and functional product documentation and help unlock the full potential of our platform for customers.
Role Overview
As a Technical Writer, you will be responsible for transforming complex product functionality into clear, structured, and user-friendly documentation. Your work will directly impact customer adoption, reduce support dependency, and improve the overall product experience.
You will collaborate closely with Product Owners, Engineers, Customer Support, and Customer Success teams to create high-quality documentation that is accurate, consistent, and easy to navigate.
Technical writers act as a key bridge between product, development teams and end users, translating complex concepts into clear documentation such as product guides, user manuals and knowledge base content.
Key Responsibilities
Documentation Strategy &amp; Structure<ul><li>
Define and implement a documentation framework and structure for all product-related content</li><li>
Establish style guides, templates, and documentation standards to ensure consistency across all materials</li><li>
Design and maintain a centralized documentation hub / knowledge base</li></ul>
Content Creation<ul><li>
Develop and maintain:<ul><li>
User guides and feature documentation</li><li>
Customer-facing manuals and onboarding materials</li><li>
FAQs and troubleshooting guides</li><li>
Release notes and feature updates</li></ul></li><li>
Translate complex technical information into clear, concise, and accessible content for non-technical users</li><li>
Write step-by-step workflows that help customers effectively use product features</li></ul>
Collaboration &amp; Information Gathering<ul><li>
Work closely with Product, Engineering, and Support teams to gather accurate information</li><li>
Interview subject-matter experts (SMEs) and validate content for accuracy</li><li>
Align documentation with product releases and roadmap changes</li></ul>
Content Maintenance &amp; Governance<ul><li>
Audit existing documentation to identify gaps, inconsistencies, and outdated information</li><li>
Continuously update documentation to reflect product changes and releases</li><li>
Ensure content is version-controlled and remains relevant over time</li></ul>
Quality &amp; Usability<ul><li>
Ensure all documentation is:<ul><li>
Structured and easy to navigate</li><li>
Consistent in terminology and tone</li><li>
Optimized for customer understanding and usability</li></ul></li><li>
Review and edit existing content for clarity, accuracy, and completeness</li></ul> 
Leveraging AI for Documentation Efficiency<ul><li>
Identify areas in the documentation lifecycle that can be automated or augmented using AI</li><li>
Actively Leverage AI tools to:</li></ul>
o Generate first drafts of documentation from product specs, devops tickets, release notes etc
o Integrate AI and automation to identify, capture, and document product and platform changes from development and release processes
o Summarize technical inputs into structured, customer-friendly documentation
o Convert engineering language into clear, user-facing content
Key Outcomes (Success Metrics)<ul><li>
Reduction in customer support queries related to product and feature usage</li><li>
Improved customer onboarding experience</li><li>
Increased adoption of existing product features</li><li>
Fully structured, searchable, and up-to-date documentation repository</li></ul> 
Core Skills<ul><li>
Proven experience as a Technical Writer or Technical Documentation Specialist</li><li>
Ability to simplify complex technical concepts for diverse audiences</li><li>
Strong understanding of information architecture and structured documentation</li><li>
Excellent writing, editing, and proofreading skills</li><li>
Experience with actively configuring and using AI tools like Microsoft Copilot, Miro AI and Notion AI to automate workflows</li></ul>
Technical &amp; Product Understanding<ul><li>
Experience working with software products (SaaS preferred)</li><li>
Ability to quickly understand product features and technical workflows</li><li>
Familiarity with documentation tools (e.g. Notion)</li></ul>
Collaboration &amp; Communication<ul><li>
Strong stakeholder communication skills</li><li>
Experience working closely with engineering, product and customer support teams</li><li>
Ability to ask the right questions and challenge unclear requirements</li></ul>
Nice to Have<ul><li>
Experience in developer documentation or API documentation</li><li>
Background in EV, energy, or mobility domain</li><li>
Experience setting up documentation systems from scratch</li><li>
Basic UX writing or content design experience</li></ul>
What Success Looks Like
Within the first 3&ndash;6 months, you will:<ul><li>
Establish a clear documentation structure and standards</li><li>
Audit and reorganize existing documentation</li><li>
Deliver high-quality, customer-facing documentation for key product areas</li><li>
Enable internal teams to contribute to documentation in a structured way</li></ul>
Why This Role Matters
This is not just a writing role. It is a product enablement role. Clear documentation directly drives product adoption, reduces friction for users, and improves customer satisfaction 
Our offer
Working at GreenFlux means working in a dynamic, innovative, and informal organization, where innovative ideas and developments flow quickly, and each day brings new opportunities and challenges. At our inspiring office in Amsterdam, you will have the chance to actively contribute to a sustainable future! 
While GreenFlux has a hybrid work policy, we value the collaborative energy and synergy that comes from in-person interactions. Therefore, we expect our Scrum Master to be present in the office more frequently than the average team member. This presence will help foster stronger team dynamics, enhance communication, and drive the continuous improvement of our agile processes. Additionally, as we have started working more closely with our other foreign subsidiaries, you will be given the opportunity to travel to and collaborate with them as well. 
Join our revolution in mobility and energy!</div>

Technical Writer-Editor

Client Server

<div>
 
 
 
 Full Stack Developer / Engineer (Kotlin AWS JavaScript) Amsterdam to &euro;85,000
 
 
 
 
 
 
 
 Are you a skilled Full Stack Developer looking for an opportunity to progress your career whilst working with a modern tech stack and continually improving your skills?
 
 
 
 
 
 You could be joining a scaling, global FinTech company, working on a successful product that helps global companies to achieve sustainability and NetZero targets via Blockchain technology solutions.
 
 
 
 
 
 As a Full Stack Developer you will work across the full technology stack with a focus on Kotlin backend systems but also with some front end (JavaScript, Angular / React) work. You'll quickly gain an understanding of the complete ecosystem of the modern, distributed application with a broad scope of work including AWS, mobile applications, trading and transfer functionality and integration of 3rd party platforms.
 
 
 
 
 
 This is an opportunity to work on worthwhile technology that is helping to increase decarbonisation whilst working on complex and interesting systems with continual learning opportunities.
 
 
 
 
 
 
 WFH Policy:
 
 
 
 You'll join colleagues in the Amsterdam office two days a week with flexibility to work from home the other three days.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong serverside Kotlin experience (Java background is good)
 </li>
 <li>
 You have experience with Spring Boot and microservices
 </li>
 <li>
 You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures
 </li>
 <li>
 You have a good knowledge of AWS
 </li>
 <li>
 You have a good understanding of CI/CD, DevOps
 </li>
 <li>
 You also have some JavaScript, Angular, React front end skills
 </li>
 <li>
 You're collaborative, enjoy problem solving and continually learning
 </li>
 <li>
 You're keen to work in a start-up / scale-up environment with lots of ownership
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 <ul>
 <li>
 Salary to &euro;85,000
 </li>
 <li>
 Flexible working in a relaxed technology focussed environment
 </li>
 <li>
 Continual learning and self-development opportunities
 
 
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Full Stack Developer / Engineer (Kotlin AWS JavaScript) opportunity.
 
</div>

Full Stack Developer Kotlin AWS JavaScript - Start-up

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
About the Role
Production experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers &mdash; experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment &mdash; shipping solutions customers depend on.
The Builder Experience
<ul><li>AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools &mdash; Cursor, Claude, and Salesforce coding products like Vibes &mdash; embedded into your day-to-day workflow.
</li><li>Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
</li><li>Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months &mdash; spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
</li><li>Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
</li><li>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
</li><li>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
</li><li>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
</li><li>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
</li><li>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
</li><li>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
</li><li>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Forward Deployed Engineer If&hellip;
<ul><li>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models
</li><li>You have a degree in Computer Science or a related field
</li><li>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) &mdash; this is a requirement, not a nice-to-have.
</li><li>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex &mdash; and willing to add to that list as the work demands.
</li><li>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
</li><li>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
</li><li>You can hold your own in a room with sales teams and customer architects.
</li><li>You ship quality code and evaluate AI outputs with engineering rigor.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You thrive in the group chat that's building something, not just talking about it.
</li><li>You're excited to travel ~25% of the time, working directly alongside customers.
</li></ul>Nice-to-Haves
<ul><li>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
</li><li>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
</li><li>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
</li><li>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer - Netherlands

Veed

<div><h3 class="jobSectionHeader">About the company
</h3>At VEED , we're a generative AI company building the AI video creation platform made for social. It's where millions of marketers imagine and generate branded videos, in minutes. 
 
We're powered by frontier models and VEED Fabric, our own image-to-video model. Our APIs also run AI video inside leading creative products. 
 
We're 150 people, $50M ARR, backed by Sequoia. We're hiring. Come help us make AI videos worth posting.
<h3 class="jobSectionHeader">Where And How We Work
</h3>At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life.
For our London and Amsterdam-based teammates, we ask that you spend 3 days a week in the office during your first 6 months &mdash; it&rsquo;s the best way to connect, collaborate, and get to know your team. After that, you&rsquo;ll shift to 1 day a week in the office, with flexibility to choose the day that suits you best.
<h3 class="jobSectionHeader">About the role
</h3>VEED recently started building its own AI models, sold through API, and the traction has been HUGE. Our Fabric image-to-video lipsync model is already the model of choice for industry leaders like ElevenLabs, Freepik, and many more, and it's distributed through marketplaces like fal.ai and Runware.
We're about to launch our own API platform, and as such we&rsquo;re now looking for our Founding API GTM to be the first dedicated seller in our API business - the person who turns inbound buzz and a world-class model into booked, recurring revenue, and who builds the commercial playbook the rest of the API sales org will run on.
This is a 0 1 commercial role. You'll own the number for a brand-new line of business, sell a technical product to technical buyers, and have a direct hand in shaping pricing, ICP, and how we go to market. You'll be selling not just today's models, but building VEED's roadmap toward serving AI video infrastructure and agentic products directly to developers. We're an AI-first business, and we expect this role to be too: you'll build an outbound motion powered by AI agents, not headcount, and you'll prototype your own demos rather than wait in an engineering queue. No two days will be the same, and almost nothing is built yet.
You'll work alongside our Research Engineers and Product leadership, and will report to VEED&rsquo;s COO who runs the API business.
<h3 class="jobSectionHeader">What you'll do
</h3><ul><li>Own the API revenue number. Build and run the full cycle end-to-end: prospecting, qualification, technical demos, commercial negotiation, and close. You are the first and, for now, only quota-carrier for the API business.
</li><li>Run an AI-first outbound machine. Build and operate an agentic prospecting and research motion - using AI to source, qualify, personalize, and follow up at a scale that normally takes a team.
</li><li>Vibe-code your own demos. Prototype working integrations and bespoke demos against a prospect's actual use case (with AI coding tools and our API), so you can show value in the first call instead of waiting on engineering.
</li><li>Build the playbook by running it. Define the sales motion, qualification criteria, pricing and packaging feedback, and the repeatable process the next sellers will inherit. Where there's no process, you create it.
</li><li>Sell to technical buyers. Run credible conversations with founders, CTOs, and engineering leaders at AI platforms, creative tools, and &quot;engine-builders&quot; (dubbing, UGC, avatar, and e-learning companies) who want to build on our models.
</li><li>Be the voice of the customer. Feed usage, revenue, and qualitative insight back to research, product, and leadership to shape what we build and how we price it.
</li><li>Work cross-functionally to close. Collaborate with Marketing, Engineering, Finance, Core Business Sales, Customer Success, and Legal to get deals over the line and customers live.
</li><li>Help set the commercial vision. Partner with the GM on ICP, forecasting, and the path from first dollar to the next pillar of VEED's revenue.
</li></ul><h3 class="jobSectionHeader">What you bring
</h3><ul><li>Proven 0 1 closing. You've carried a quota and consistently exceeded it, ideally as an early/founding seller where you built processes from nothing. Former or future founders highly encouraged to apply.
</li><li>AI-first by default. You already run your own work - research, outbound, prep - with AI agents and tools, and you're energized by pushing how far that can go. You sell AI because you live it.
</li><li>Technical enough to build. You can read API docs, wire up a quick integration, and vibe-code a demo with tools like Cursor, Claude, or Lovable. You can also hold your own on latency, model capabilities, and developer workflows, and you're quick to learn the AI/GPU landscape. You don't need to be an engineer - you need to be dangerous enough to not be blocked by engineering resource, and earn technical teams&rsquo; trust
</li><li>Commercial and quantitative instincts. You think in pipeline, unit economics, and revenue impact, and you can structure creative deals in a market with no fixed playbook.
</li><li>Range. You're as sharp negotiating a contract with a sophisticated buyer as you are explaining VEED's value to a non-technical CEO at an event.
</li><li>Hands dirty, ego in check. No task is too small. In an early-stage team of one, you'll prospect your own list, build your own decks, and chase your own paperwork - taking pride in ownership, from high-level strategy to day-to-day execution
</li><li>Bias to action. You move fast, operate with ambiguity, and would rather ship and iterate than wait for the perfect plan.
</li></ul><h3 class="jobSectionHeader">What we offer
</h3><ul><li>Monthly subsidy programme: Everyone values different things, so we give you a monthly allowance to spend how it suits you best &mdash; whether that&rsquo;s on office furniture, childcare, gym memberships, or anything else that makes your life easier.
</li><li>Unlimited paid holidays: Time with family, friends, or just yourself is priceless.
</li><li>Home office set-up: We make sure your home office is fully equipped with everything you need &mdash; laptop, monitors, headsets, keyboards, and more &mdash; so you can work comfortably and creatively.
</li><li>Mental health benefit : We&rsquo;ve partnered with Spill to offer confidential mental health support to all our team members.
</li><li>Equity: When VEED wins, you win. Our stock options let you share in the company&rsquo;s growth and be a part of our journey. 
</li></ul> 
The base salary ranges for this role are:
<ul><li>London: &pound;93,760 &ndash; &pound;117,200 gross per year
</li><li>Amsterdam: &euro;107,054 &ndash; &euro;133,817 gross per year 
</li></ul> 
We set ranges based on market data and review them regularly. Where your offer lands within the range reflects your experience and skills relative to the level criteria for this role. We don't ask about current or previous salary at any stage of our process. 
 
Even if you don&rsquo;t have every skill listed here, we encourage you to apply. We value curiosity, drive, and the ability to learn just as much as existing expertise.
We think what matters is people. After all, a company is just a group of people. We don&rsquo;t care about where you&rsquo;re from, what school you went to or where you worked before. If you&rsquo;ve done exceptional work, we want to hear from you. Join us on our mission to make creative storytelling with video simple and accessible for everyone.
By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.</div>

Founding API GTM

Explore 57+ Ai developer in Amsterdam this July. Find roles across top companies and apply now to boost your career.