Groupon is mid-transformation. Seven parallel streams. Real targets: contact deflection, resolution rates, repurchase. The streams are moving - but each one needs a single accountable person who can both diagnose the problem and ship the fix. That's this role. You won't be coordinating. You won't be waiting for an analyst or speccing things out for an engineer. You'll pull the data yourself, write the prompt yourself, build the dashboard yourself, and hold people accountable without having authority over them. If it's blocking you, you do it.

Who you'll work with

You'll report to Maguelonne, Director of Operational Transformation. Your closest partners will be teams across Customer Service, Merchant Operations, Product, Engineering, Supply, and Content  with key stakeholders based in Madrid and Prague.

What you'll be doing

• Owning transformation streams end-to-end - defining the problem from raw data, building the delivery plan, assigning owners, setting milestones, and tracking progress in dashboards you build yourself
• Building AI workflows from scratch - writing prompts, running evals, validating output against real cases, improving and scaling
• Pulling and interrogating your own data - building your own reports and business cases without waiting for support
• Holding cross-functional teams accountable - naming blockers early, escalating fast, and not letting "we don't own that" become an excuse for slow delivery
• Finding creative fixes - many people here will say "we tried that before." Your job is to zoom out, find the quick win, and simplify what others have overcomplicated
• Surfacing risks before they become problems - keeping stakeholders aligned without over-meeting

What success looks like

At 30 days: You've personally pulled and analysed the data on your stream. You've shipped at least one small automation or prompt-driven workflow. You know the landscape — the streams, the blockers, the key players.

At 60 days: You own at least one stream with a clear delivery plan. You've prototyped one AI workflow running on real data. Stakeholders come to you when things are stuck.

At 6 months: Contact deflection rate is improving on your stream. At least one AI workflow is in production and being used daily. Your manager doesn't have to chase status — you surface risks before they become issues.

What this role demands

You can demonstrably:

• Ship a production-grade LLM workflow end-to-end - prompt design, tool use, evaluation, edge case handling. A Zapier flow doesn't count.
• Identify an operational problem, form a view on how to fix it, and execute without being pushed
• Hold cross-functional stakeholders to commitments without authority over them — and find structural levers when persuasion alone doesn't work
• Navigate ambiguity and create structure where none exists, while knowing when a decision needs escalation and when it just needs to be made
• Re-plan without drama when priorities shift and not lose the thread of what matters

What we are looking for

• 2-4 years in operations, program management, or strategy & ops roles where you personally shipped - not just managed others who shipped
• At least one production LLM workflow built and running end-to-end
• Comfortable pulling, interrogating, and presenting data without support
• Assertive communicator who names blockers and drives resolution
• Fluent English, based in Madrid or Prague

Nice to have

• Experience at a fast-paced tech or marketplace company
• Familiarity with Customer Service or Merchant Operations contexts
• Active follower of the AI/LLM space - you've tried the tools yourself and have an opinion on which to use when

The hiring process

• TA screen with your recruiter (30 min)
• Hiring manager interview (45 min)
• Case study (3-5 days to complete)
• Case study presentation (45 min) - you walk us through your approach, findings, and recommendations, followed by Q&A

The transformation agenda is real, the exec visibility is high, and the scope is broader than most roles you'll find at larger companies. If you want to move fast, ship AI into production, and be the person who actually unblocks things - apply.

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

As a Technical Support Engineer at Celonis, you are at the forefront of the intersection between enterprise-grade software and generative AI. Celonis enables global enterprises to realize the full value of AI, and we lead by example - integrating advanced AI tooling into our internal ecosystems to redefine the support experience.

We provide technical support across the full Celonis technical stack from infrastructure, front-end services through to automation and AI products. In this role, you won’t just be diagnosing and restoring complex technical issues, you will be an AI SME responsible for architecting the future of technical support. 

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis technical stack & products,
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• AI Workflow Automation and Modeling that will assist with trouble-shooting in reduce MTTR
• AI SME & Strategy - serve as the Subject Matter Expert for AI in Support, taking ownership of training models and providing feedback loops to improve quality.
• Drive Knowledge Centred Service and Continual Service Improvement initiatives leveraging AI tooling with a strong focus on AI driven solution
• Participate in a day-time hours on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Demonstrated prompt engineering skills for optimizing AI outputs.
• Experienced in troubleshooting AI products, including hallucinations, reasoning issues, misbehavior and building AI Automations and Modeling
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

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’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 – one that’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:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

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'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 – one that'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.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.

About the role

• Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
• Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
• Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
• Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
• Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
• Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
• Collaborate with stakeholders across Design, Growth, and the Tech team, working sid by side with a team of Software Engineers.
• Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
• Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

About you

Basic skills and qualifications:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• 3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
• Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
• Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
• Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
• Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
• Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
• Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
• Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
• High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

Preferred skills and qualifications
• Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools.
• Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs.
• Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company.
• Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar.
• Strong product taste and design sensitivity — you care about how things feel, not just whether they work.
• Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics.
• Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years.
• Ability to build trust quickly across different levels of an organization and rally people around what you are building.

Why join Fever

• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

The Role

We're looking for a Lead AI Engineer to drive Fever's company-wide AI transformation. This is a high-impact role for someone who can build and lead small, high-performance specialist teams that ship AI initiatives across large business domains — from business development and creative production to investment decisions, operations, and customer experience.

Your focus is applying AI to transform how the business operates. You'll stay at the cutting edge of AI technology being developed around the world and translate it into practical, high-leverage applications inside Fever — automating workflows, augmenting decision-making, and unlocking capabilities that weren't possible before. You'll partner with senior leaders across the company to identify the highest-leverage opportunities, assemble the right squad to tackle them, and deliver production-grade AI products that change how Fever operates at scale.

This role combines deep technical excellence, hands-on system design, team leadership, and strategic stakeholder management. You'll set the bar for what AI engineering looks like at Fever and shape how the company adopts AI across every function.

What you'll do

• Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there.
• Build and lead small, high-performance specialist teams — embedding with business stakeholders to ship AI products end-to-end, from problem framing to production.
• Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes rather than benchmarks — including high-volume, low-latency production workflows.
• Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long-term maintainability.
• Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity.
• Act as a trusted advisor to senior leadership across business domains, translating AI capabilities into concrete strategy and managing expectations on what's feasible, when, and at what cost.

What we're looking for

• Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases).
• Deep, hands-on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine-tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar) — ideally having delivered something similar at another company.
• Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads.
• Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals.
• Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers.

Bonus points for

• Experience building agentic systems or AI-powered automation that replaces or augments human workflows at scale.
• Familiarity with the broader AI/ML platform ecosystem (LangSmith, Langfuse, Weights & Biases, MLFlow) and applied ML at scale (recommenders, ranking, search).
• Side projects, open-source contributions, or published work in applied AI.

The environment

• Product-driven, cloud-native (AWS), fast-moving team with direct line of sight to business impact.
• We care about code quality, performance, testability, evaluation rigor, and long-term maintainability.
• We hire builders: people who own systems end-to-end and turn ambiguity into shipped products.
• Leadership is hands-on and collaborative — setting the pace through initiative, example, and accountability.
• This role is based in our Madrid office. We work in a hybrid setup with strong in-person collaboration, so being on the ground in Madrid is essential for embedding with business teams across the company.

Benefits & Perks

• Responsibility from day one and professional and personal growth in one of the most exciting AI roles in the company.
• Opportunity to have a real impact in a high-growth global category leader.
• A compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options plan.
• 40% discount on all Fever events and experiences.
• Based in Madrid, with a home office friendly setup.
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English / Spanish lessons.
• Wellhub membership.
• Possibility to receive in advance part of your salary by Payflow.

Senior Backend Engineer - JavaScript/TypeScript

Ebury (Madrid/Málaga) Office - Hybrid: 4 days in the office, 1 day working from home per week

Ebury is a hyper-growth FinTech on a mission to revolutionize international trade. We are building the "Internal Engine" of our global delivery organization, and our Client Operations Automation squad is at the heart of this transformation.

We are moving beyond traditional automation into the era of Agentic Orchestration. You won't just be writing scripts; you will be architecting the high-performance distributed systems and AI workers that power real-time compliance, client lifecycle management (CLM), and intelligent RFI workflows.

Technical Leadership & Team Context 

In this role, you will be the foundational technical leader for the squad. You will work alongside three mid-level colleagues and one Associate Engineer, serving as the primary architect and mentor. This is a high-visibility position where you define the engineering standards for the team and drive the technical roadmap for Ebury's operational efficiency.

Your Impact

• Architect Intelligent Systems: Lead the design and implementation of complex state machines and workflow orchestration using Temporal and Node.js/TypeScript
• Production-Grade AI: Deploy and optimize Gemini in production to handle non-deterministic operational tasks, transforming manual reviews into automated, agentic processes
• Drive Strategic KPIs: Own the technical outcomes that reduce our Manual Intervention Rate and improve Average Handling Time (AHT) for global client operations
• Engineering Excellence: Establish best practices for observability, "exactly-once" execution, and distributed system resilience
• Mentorship: Directly influence the growth of the team through RFC reviews, technical workshops, and hands-on pairing with mid-level and associate engineers

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.

About the role

• Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
• Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
• Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
• Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
• Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
• Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
• Collaborate with stakeholders across Design, Growth, and the Tech team, working sid by side with a team of Software Engineers.
• Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
• Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

About you

Basic skills and qualifications:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• 3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
• Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
• Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
• Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
• Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
• Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
• Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
• Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
• High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

Preferred skills and qualifications
• Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools.
• Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs.
• Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company.
• Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar.
• Strong product taste and design sensitivity — you care about how things feel, not just whether they work.
• Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics.
• Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years.
• Ability to build trust quickly across different levels of an organization and rally people around what you are building.

Why join Fever

• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

We’d be happy to have you on our team if you: 

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

#LI-MR1

Senior Backend Engineer - JavaScript/TypeScript

Ebury (Madrid/Málaga) Office - Hybrid: 4 days in the office, 1 day working from home per week

Ebury is a hyper-growth FinTech on a mission to revolutionize international trade. We are building the "Internal Engine" of our global delivery organization, and our Client Operations Automation squad is at the heart of this transformation.

We are moving beyond traditional automation into the era of Agentic Orchestration. You won't just be writing scripts; you will be architecting the high-performance distributed systems and AI workers that power real-time compliance, client lifecycle management (CLM), and intelligent RFI workflows.

Technical Leadership & Team Context 

In this role, you will be the foundational technical leader for the squad. You will work alongside three mid-level colleagues and one Associate Engineer, serving as the primary architect and mentor. This is a high-visibility position where you define the engineering standards for the team and drive the technical roadmap for Ebury's operational efficiency.

Your Impact

• Architect Intelligent Systems: Lead the design and implementation of complex state machines and workflow orchestration using Temporal and Node.js/TypeScript
• Production-Grade AI: Deploy and optimize Gemini in production to handle non-deterministic operational tasks, transforming manual reviews into automated, agentic processes
• Drive Strategic KPIs: Own the technical outcomes that reduce our Manual Intervention Rate and improve Average Handling Time (AHT) for global client operations
• Engineering Excellence: Establish best practices for observability, "exactly-once" execution, and distributed system resilience
• Mentorship: Directly influence the growth of the team through RFC reviews, technical workshops, and hands-on pairing with mid-level and associate engineers

About The Role 💻 

We are looking for a Staff AI Engineer who thrives at the intersection of rapid experimentation and agile product development. In this role, you will be the bridge between the latest AI developments and tangible product impact. You aren't just following a roadmap; you are helping define it by proving what is possible with the latest frontier models and architectures. You will be responsible for the "quality loop": moving from a promising proof-of-concept to a highly reliable, optimized, and validated product.

What You’ll Be Doing 🚀

As a Staff AI engineer, you will be responsible for:

• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. This isn't just about "accuracy" in a vacuum—it's about optimizing for user value, reliability, and cost-effectiveness.
• Evaluation Systems: Building the "Golden Path" for quality. You will design and implement robust, multi-dimensional evaluation suites (e.g., using "LLM-as-a-judge," semantic checks, and unit tests) to ensure our features are production-ready and hallucination-resistant.
• Advanced RAG & Reasoning Optimization: Moving beyond "naive RAG." You will implement and tune advanced retrieval strategies (e.g., hybrid search, reranking, agentic retrieval) and optimize complex reasoning loops (e.g., CoT, ReAct) to make our current and future agents smarter and more reliable.
• Production-Grade Model Tuning: Leading the strategy for when, and if, to move beyond simple prompting. You will oversee supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows to adapt models to our specific product domains.
• Performance & Cost Engineering: Balancing the "Quality-Cost-Latency" triangle. You will find ways to maintain high-quality outputs while optimizing token usage and reducing inference latency.

Location 🌍 

The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours.
Way of Working: Remote/Hybrid

What You’ll Need 👀

• Applied MLE Background: You have a proven track record of shipping Machine Learning functionality in a product-focused environment. You prefer "what works in practice" over "what works in theory."
• Bleeding-Edge Awareness: You are a "first adopter" of new AI technologies. You are intimately familiar with the trade-offs between frontier models and know how to swap or hybridize them for maximum impact.
• Experimental & Analytical Mindset: You understand the importance of controlled experiments. You know how to design a benchmark, create a "Gold Dataset," and use data to prove that a new prompt or model is an actual improvement.
• Practical LLM Expertise: Deep, hands-on experience with LLM orchestration, vector databases, and evaluation frameworks.
• Technical Stack Mastery: Expert-level Python and experience writing production-grade code.
• Product Mindset: You think about the user. You can identify when a model’s behavior might be technically correct but results in a poor user experience, and you know how to iterate to improve it.
• Experience: 5+ years of experience in ML or Software Engineering roles, with at least 2+ years of hands-on experience building and scaling GenAI/LLM-powered features.
• Self-starter, able to take ownership and initiative, with high energy and stamina
• Decisive and action-oriented, able to make rapid decisions even when they are short of information
• Highly motivated, independent and deeply passionate about sustainability and impact
• Excellent oral and written English communication skills (minimum C1 level-proficient user)

Nice To Have ✨

• Experience in a start-up
• Cloud AI Ecosystem: Familiarity with managed GenAI platforms and services such as OpenAI, Anthropic, AWS Bedrock, or GCP Vertex AI.
• Active Builder Credentials: A portfolio or GitHub showcasing side projects that experiment with the latest AI paradigms (e.g., multi-agent systems, local LLM execution, etc.).

What We Offer 🥁

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
• Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces 
• Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days
• Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses
• Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms
• Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups

Senior Salesforce Engineer

Madrid Office - Hybrid: 4 days in the office, 1 day working from home

At Ebury, we are redefining what it means to be a Salesforce Engineer. We are moving beyond standard configuration to build a decentralized, autonomous, and AI-driven financial platform. As we transition to a "You Build It, You Run It" (YBIYRI) culture, we are empowering our domain teams with full ownership of their infrastructure, retiring legacy dependencies to move at the speed of innovation.  

We are looking for a Senior Salesforce Engineer to join our Technology team in Madrid. You will be the technical anchor for our Spanish operations, collaborating closely with our distributed team to architect scalable solutions. You will pioneer the implementation of Salesforce Agentforce (AI Agents), and design the event-driven architectures that power global trade.  

This is a role for an engineer who wants to build systems, not just customize layouts. If you are passionate about Open Source, DevOps, and Artificial Intelligence, this is your platform.  

Our Tech Stack & Culture  

• Core: Sales Cloud, Service Cloud, Financial Services Cloud, Pardot.  
• Architecture: Event-driven architecture, REST/SOAP integrations with internal  
  microservices.  
• Development: VS Code (Agentforce Vibes), Apex, LWC, SOQL/SOSL.  
• Methodology: Agile (Scrum), Domain-Driven Design (DDD), YBIYRI. 
• Philosophy: Open Source first. We encourage contributing back to the community.  
• Automation & CI/CD: GitHub Actions (moving away from legacy Jenkins) and sfdx.  

What You Will Own  

• End-to-End Engineering: Design, build, and deploy scalable solutions on the Salesforce platform. You own your code from the IDE to production.  
• AI & Modernization: Lead the charge on Agentforce and AI-driven workflows to automate complex financial processes and reduce manual toil.  
• DevOps & Pipelines: Maintain and optimize our CI/CD pipelines. You will ensure our deployment process is fast, reliable, and "click-button" simple.  
• Integration Quality: Build robust integrations with our banking platform and external financial providers using REST/SOAP APIs.  
• Platform Reliability: Monitor the health of your services (YBIYRI). You are empowered to fix performance bottlenecks and ensure system stability.
• Security Architecture & Governance: Serve as the guardian of our Salesforce access model. You will architect and maintain a robust permission structure using Permission  
• Set Groups and Profiles, ensuring strict adherence to the Principle of Least Privilege.  
• You will design controls for a system that governs permissions for employees across our entire back-office ecosystem.  
• Mentorship: As a Senior, you will guide the team on best practices, code reviews, and  
• architectural decisions.  

About You  

• Experience: 3+ years of hands-on Salesforce development (Apex, LWC).  
• Architectural Vision: You can design solutions that scale. You understand the trade-offs between synchronous and asynchronous processing, and you know how to protect the org from hitting Governor Limits.  
• AI Readiness: You are excited by the potential of LLMs and Agentic AI. You understand concepts like RAG (Retrieval-Augmented Generation) and Prompt Engineering and are ready to apply them to enterprise CRM. Ensuring they are grounded in accurate data and operate within strict security boundaries.  
• Communication: Fluent in English. You can explain complex technical constraints to Product Managers and business stakeholders.  
• Team Player: You thrive in a collaborative environment and see the value in face-to-face interaction for solving complex problems.  
• Domain: Experience in FinTech, Banking, or regulated industries is highly valued but not mandatory if you have the engineering chops.  

What We Offer  

• Competitive Salary: Tailored to your location and experience.  
• Office Experience: A dynamic, collaborative office environment in Madrid designed for rapid decision-making and real human connection.  
• Career Growth: Continued personal development through training, certifications, and conference attendance.  
• Competitive Compensation: Discretionary bonus based on performance.  
• Flexible Remuneration (Retribución Flexible): Optimize your net income with tax-efficient Ticket Restaurant (Meal Vouchers), Transport Cheques, Nursery Cheques and Health Insurance.  
• Health & Wellbeing: Private Medical Insurance and access to wellness facilities.