ai engineer

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

Varrlyn

<div>Company Description 
Varrlyn is a consulting firm which was founded in 2010 and is based in The Netherlands. We help financial institutions with system implementations and provide some serious application support, concentrating on the way they process transactions and deploy reporting applications.
Varrlyn has a proven track record: we have worked for financial institutions in Amsterdam, Brussels, London, Paris, New York, Frankfurt, and Sydney. We help improve cost efficiency, simplify application architecture, optimize time to market, enhance straight-through processing, and ensure compliance with financial regulations. In other words: You do the deal, we&rsquo;ll do the project. 
Job Description 
Build the future of AI-driven banking
Our client's Agentic AI Centre of Excellence is building the next generation of AI-powered products and engineering capabilities. We are looking for engineers who don't just implement AI solutions&mdash;they shape how they are designed, validated, and scaled across one of Europe's largest banks.
You are someone who naturally experiments, challenges assumptions, and turns ideas into working software. You don't wait for perfect requirements. You reduce uncertainty by building, testing, measuring and iterating.
What you'll do<ul><li>
Design and build production-grade Agentic AI applications.</li><li>
Architect AI systems using modern orchestration frameworks such as LangGraph or similar.</li><li>
Design reusable AI platform capabilities that can be adopted by multiple engineering teams.</li><li>
Build scalable cloud-native services using modern software engineering principles.</li><li>
Evaluate AI systems using quantitative metrics and continuously improve their performance.</li><li>
Translate prototypes into secure, reliable enterprise solutions.</li><li>
Challenge existing ways of working and help shape engineering best practices across the organization.</li></ul> 

Qualifications 
Must-have requirements:<ul><li>
5+ years of hands-on software engineering experience with a strong foundation in backend or full-stack development.</li><li>
Proven experience building production-grade Agentic AI or LLM applications, not just prototypes.</li><li>
Deep understanding of AI architecture, including orchestration, design trade-offs, and scalable AI system design.</li><li>
Hands-on experience with LangGraph, LangChain or similar agent frameworks, combined with Python.</li><li>
Strong cloud and platform engineering skills, preferably Azure, Kubernetes, Docker and CI/CD.</li><li>
Experience building scalable microservices and distributed systems in an enterprise environment.</li><li>
Able to measure and optimize AI performance, using metrics, evaluation frameworks and continuous improvement.</li><li>
Strong bias toward action, with experience rapidly prototyping, validating ideas and driving change in ambiguous environments.</li><li>
Demonstrated ownership and measurable business impact, with clear examples of technical decisions that improved products or processes.</li><li>
Excellent communication skills, able to explain technical decisions, challenge existing approaches and inspire confidence through enthusiasm and curiosity.</li></ul> 

Additional Information 
Acquisition in response to this vacancy is not appreciated.</div>

Senior Full-Stack AI Engineer

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

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

Group-IB

<div>
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, citizens, and support law enforcement operations.
 
 
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 
 
 
 About The Role
 
 
 
 In this role, you will be instrumental in the engineering and end-to-end development of analytical services designed to provide advanced fraud intelligence. You will leverage your experience in production-grade Python development to enhance our strategic fraud detection capabilities through the analysis of session and network data, development of sophisticated fraud detection logic, and implementation of predictive modeling and scoring methodologies across diverse web entities.
 
 
 
 YOUR MISSION
 
 
 
 <ul>
 <li>
 Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
 </li>
 <li>
 Perform advanced research into methodologies for fraud mitigation and anomaly detection within transactional and sessional data environments.
 </li>
 <li>
 Develop and integrate machine learning models and mathematical algorithms into the Fraud Protection ecosystem.
 </li>
 <li>
 Engineer and validate AI Agents tailored for complex analytical operations.
 </li>
 <li>
 Analyze session and network data to develop sophisticated fraud detection logic.
 </li>
 <li>
 Implement predictive modeling and scoring methodologies across diverse web entities.
 </li>
 <li>
 Synthesize research findings into comprehensive documentation and formal presentations.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Strong foundation in tabular data analysis.
 </li>
 <li>
 Experience writing production-ready, asynchronous Python code (Python 3.10+).
 </li>
 <li>
 Experience with Python data analysis and machine learning libraries, including pandas and scikit-learn.
 </li>
 <li>
 Proficiency with Git; experience with Docker is a plus.
 </li>
 <li>
 Proficiency in IDE and terminal-based development.
 </li>
 <li>
 Experience building ETL pipelines.
 </li>
 <li>
 Experience orchestrating AI coding agents efficiently.
 </li>
 <li>
 Research-oriented mindset.
 </li>
 <li>
 Database experience with Elasticsearch, Cassandra, or ClickHouse is highly preferred.
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 Prior experience within the cybersecurity or anti-fraud sectors.
 </li>
 <li>
 Experience implementing AI agents end-to-end.
 </li>
 <li>
 Strong documentation and presentation skills.
 </li>
 <li>
 Experience working with Elasticsearch, Cassandra, or ClickHouse.
 </li>
 <li>
 Good understanding of networking concepts (hosting, VPN, etc.).
 </li>
 <li>
 Understanding of fraud prevention and network protection.
 
 
 </li>
 </ul>
 
 WHY CHOOSE GROUP-IB
 
 
 
 Group-IB is a global leader in cybersecurity technologies that investigate, predict, prevent, and fight digital crime. We help organizations reduce risk and protect trust. Trusted by governments, major industries, and law enforcement, we deliver adversary-focused, predictive threat intelligence and cyber fraud fusion solutions that detect, analyse, and mitigate regional and country-specific digital crimes.
 
 
 <ul>
 <li>
 Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime.
 </li>
 <li>
 Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East &amp; Africa, Central Asia, and the Asia-Pacific. Your growth is our growth &mdash; Group-IB's expansion across 60+ active country operations means real career acceleration.
 </li>
 <li>
 We fund professional certifications at company expense &mdash; whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials.
 </li>
 <li>
 Work alongside industry leaders. Our Unified Risk Platform &mdash; Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more &mdash; is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost &amp; Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard.
 </li>
 <li>
 Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike &mdash; and neither do the skills you'll develop.
 </li>
 <li>
 A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.
 </li>
 </ul>
</div>

Data Scientist

JetBrains

<div>
 Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
 
 
 Spectrum collects data from an organization&rsquo;s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec &ndash; one that&rsquo;s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
 
 
 Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
 
 
 
 Your Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
 </li>
 <li>
 Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
 </li>
 <li>
 Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
 </li>
 <li>
 Establishing MLOps practices, including orchestration, observability, and experiment tracking.
 </li>
 <li>
 Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
 </li>
 <li>
 Defining hiring criteria, growing the ML team, and shaping the ML team culture.
 
 
 </li>
 </ul>
 
 We Expect You To Have
 
 
 
 <ul>
 <li>
 A proven track record as an ML/AI Lead.
 </li>
 <li>
 At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
 </li>
 <li>
 A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 Prompt engineering and LLM pipeline design, including evaluation.
 </li>
 <li>
 Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
 </li>
 <li>
 Vector databases and retrieval-augmented generation (RAG) patterns.
 </li>
 <li>
 Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
 </li>
 </ul>
 <li>
 Strong Python skills &ndash; Kotlin knowledge would be a plus.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Proficiency in English, both written and verbal.
 
 </li>
 </ul>
 
 Our Ideal Candidate Would Have
 
 
 
 <ul>
 <li>
 Experience with ontologies, knowledge graphs, or graph-based reasoning.
 </li>
 <li>
 Experience in early-stage startups &ndash; you enjoy the zero-to-one phase.
 </li>
 <li>
 The ability to think strategically about product-led AI, beyond just training models in isolation.
 </li>
 <li>
 A background in code analysis, developer tools, or software engineering research.
 </li>
 <li>
 Experience with multi-agent systems or complex agentic workflows.
 </li>
 <li>
 Actively contributed to relevant open-source projects or publications.
 
 
 </li>
 </ul>
 What we offer
 
 
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 A competitive salary and JetBrains benefits.
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 A generous runway and corporate resources with startup autonomy.
 
 
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 We are an equal opportunity employer
 
 
 
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 
 
 
 We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
 
 
 
</div>

Founding ML Engineer (Spectrum)

Booking.com

<div>Role Description:
<div>
About Us:</div><div>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.</div><div></div><div> 
Role Description:</div><div>
As a Machine Learning Engineer (MLE I), you contribute significantly to ML projects, taking ownership of tasks and driving them to completion. You are expected to work independently and proactively, leveraging your technical expertise to solve complex problems while collaborating closely with your team. You focus on technical execution and continuous learning, contributing to our engineering culture by sharing knowledge and insights.</div><div></div><div> 
Understanding our travelers is a top priority at Booking. With millions of accommodations, flights, taxis, attractions, and car rentals available on our platform, we help people around the world find the best options for their journeys. Achieving this requires a deep understanding of traveler preferences, including those explicitly expressed through searches and filters, as well as those inferred from behavioral signals such as clicks and bookings. We also need to accurately interpret traveler intent: Why are they on our platform right now? Are they exploring options or already close to making a decision? Are they continuing a previous session, possibly on another device? And are they extending an existing trip as part of a Connected Trip, or starting an entirely new one?</div><div></div><div> 
The Traveler Intelligence track, part of Booking.com&rsquo;s Marketplace organization, develops the core capabilities that make personalization at scale possible. It brings together traveler data and behavioral signals into a unified, real-time understanding of each traveler, enabling every product surface and AI-driven interaction to become more relevant and timely. By applying advanced Data &amp; AI techniques to interpret behavior and uncover intent, the track helps deliver more personalized, seamless, end-to-end experiences across the entire Booking platform.</div><div></div><div> 
Key Job Responsibilities and Duties:</div><ul><li>
Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.</li><li>
Build readable and reusable code, applying code quality best practices and using standard libraries. Choose the right technology or coding methodology as well as refactor and simplify code when necessary.</li><li>
Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.</li><li>
Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.</li><li>
Evaluate possible architecture solutions taking into account the business and technology requirements.</li><li>
Set the relevant service level objectives SLOs and act accordingly when they are not met.</li><li>
Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.</li><li>
Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed.</li><li>
Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.</li><li>
Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.</li><li>
Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines and related fields.</li><li>
Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening</li></ul><div></div><div> 
Qualifications &amp; Skills:</div><ul><li>
2+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.</li><li>
Experience in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, etc.</li><li>
Work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.</li><li>
Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.</li><li>
Experience with data-driven product development: analytics, A/B testing, etc.</li><li>
Strong working experience in one or more general purpose programming languages; experience with Python and Spark</li><li>
Experience of version control systems</li><li>
Excellent English communication skills, both written and verbal</li></ul><div></div><div> 
Benefits &amp; Perks - Global Impact, Personal Relevance:</div><div></div><div> 
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</div><ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li><li>
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe</li><li>
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide</li><li>
Working in a fast-paced and performance driven culture</li><li>
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation</li><li>
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com</li></ul><div></div><div> 
Diversity, Equity and Inclusion (DEI) at Booking.com:</div><div></div><div> 
Diversity, Equity &amp; Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</div><div></div><div> 
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</div><div></div><div> 
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</div><div></div><div> 
Application Process:</div><div>
This section should provide:</div><ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul><div></div><div> 
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>
Key Skills:

Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, Python, SQL, PyTorch, Spark, Snowflake</div>

Machine Learning Engineer I

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