founding engineer

founding software engineer (backend, cloud & ai infrastructure) Jobs in Berlin

product engineer / ex technical founder Jobs in Berlin

product engineer / ex technical founder

senior product engineer

senior product manager - core classified & listing import products Jobs in Berlin

founding product lead

legartis technology AG

<div><h4 class="jobSectionHeader">Description</h4>
Legartis is on a mission: to unlock legal work at scale.
We have already set the standard for AI-powered contract review, helping teams work with greater precision than ever before. But that is just the beginning. We are building a holistic platform that goes far beyond review - connecting people, ideas, and knowledge to fundamentally change how legal teams operate.
When you join Legartis, you don&rsquo;t just take a job - you take ownership. We are a team of product builders and legal experts who believe that true problem-solving requires more than just code; it requires a thoughtful process. We don't chase hype; we build substance. If you&rsquo;re a tech savvy product marketer who understands the audience and fuels growth through product marketing, this is your opportunity to make a significant impact in an emerging industry.
Ready to build great things together?
Please submit your CV along with a Cover Letter outlining your Ambition to join Legartis. Applications without a Cover Letter will not be accepted.<h4 class="jobSectionHeader"> 
Your mission</h4>
You shape how Legartis wins in the market:<ul><li>
Make our products clearly differentiated and highly competitive - by developing and continuously sharpening positioning and messaging across our portfolio.</li><li><div>
Drive go-to-market strategy and execution for launches, expansion, and adoption - from plan to impact.</div></li><li><div>
Find market opportunities others miss - deep knowledge of our ICP, competitive landscape, and buyer needs isn't just insight work, it's how you shape what we build and how we sell it.</div></li><li><div>
Arm every team to win - create the assets, narratives, and enablement materials that make Sales, Marketing, and CS more effective.</div></li><li><div>
Feed product strategy with market truth - bring customer and competitive intelligence back to the product team so we build what matters.</div></li><li>
Work across the company, not in a silo - you sit in Product, but your influence reaches Marketing, Sales, and leadership.</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li><div>
4+ years in marketing, growth, product marketing, or product management at a SaaS company. Creativity matters more than a traditional background.</div></li><li><div>
Proven strategist: demonstrated success creating and executing marketing strategies.</div></li><li><div>
Storyteller: you craft compelling materials about complex AI products for non-technical audiences.</div></li><li><div>
Clear communicator: exceptional written and verbal communication with a strong visual sensibility.</div></li><li><div>
Impact-driven: comfortable with experimentation and interpreting both quantitative and qualitative data.</div></li><li><div>
AI-savvy: crafty with AI tools and automations &mdash; you use them daily and keep exploring what's new.</div></li><li><div>
Fluent in English and German.</div></li><li><div>
Nice to have: previous experience in legal tech.</div></li><li><div>
You are warm, pragmatic, and naturally curious. You ask the right questions, communicate clearly, and have a bias toward action. You are a true team player who elevates the people around you.</div></li></ul><h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Shape the future of Legal Tech in an emerging market building an impactful AI product.</li><li><div>
Opportunity to work self organised and add to technology as well as features.</div></li><li><div>
Work with a talented and dedicated team of researchers and engineers. Here you can make an impact and grow professionally.</div></li><li><div>
Competitive salary and participation of the Employee Stock Ownership Plan (ESOP).</div></li><li><div>
Modern office in Leipzig with at least 2 days per week in the office or hybrid in Berlin.</div></li><li>
Regular team events in Zurich, Leipzig and offsite like restaurant testing, hiking and more.</li></ul><h4 class="jobSectionHeader"> 
Process</h4>
Our process is built on respect and transparency:<ul><li>
30 min. interview with People &amp; Operations Manager (cultural fit): Have a chat to get an understanding of Legartis and the role you are interested in. We in turn want to get to know you and your expectations of your next challenge.</li><li>
20 min. interview with Head of Product (professional fit): Understand the professional requirements for this position better, as well as your future tasks and team setup.</li><li><div>
1h interview with Product and Marketing teams (case study): To demonstrate your abilities, you have an in-depth interview with our product team. You showcase your abilities by presenting a real life use case in product marketing.</div></li><li><div>
Additional interviews: Meet the team you would be working with and take the opportunity to pose any remaining questions. One meeting will be in our Leipzig office to meet the team in person and get to know the work place.</div></li><li>
Decision is made: If we&rsquo;re considering each other to be the right fit, you are welcomed by the Legartis team!</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are Legartis, a LegalTech company that is changing the way contracts are reviewed and analyzed today. Our SaaS solution uses artificial intelligence to automate contract review for legal departments and law firms. We are a growing and ambitious team on a mission to eliminate repetitive tasks in everyday legal work. Since our founding in 2017, we have won various awards such as the Swiss Fintech Awards, been listed as a Top100 startup in Switzerland and named by Forbes as one of the best AI startups in the DACH region.</div>

Product Marketing Manager (Berlin)

Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience. 
We are proud to be a Unicorn company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</div>
Engineering Manager &ndash; Data &amp; Analytics

As Engineering Manager for our Data &amp; Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.

You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation &mdash; with enough technical grounding to make sound decisions and mentor engineers day to day.

Our environment
<ul>
<li>Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</li>
<li>While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</li>
<li>You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</li>
<li>Data governance for AI agents is an emerging and fast-growing priority &mdash; a technically exciting area we're starting to build into</li>
</ul>
What you'll be doing
<ul>
<li>Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</li>
<li>Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises</li>
<li>Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both</li>
<li>Bring hands-on experience in Data streaming to guide the team through an active transition</li>
<li>Raise the bar on data modeling across the team</li>
<li>Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data</li>
<li>With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed</li>
<li>Build the foundations for AI data governance &mdash; as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data</li>
</ul>
What you need to be successful
<ul>
<li>Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people</li>
<li>A genuine player-coach mindset</li>
<li>Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams</li>
<li>Solid data modeling skills and the credibility to make it a team-wide standard</li>
<li>Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking</li>
<li>Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership</li>
<li>Comfort operating across both platform and product delivery contexts</li>
</ul>
Nice to have
<ul>
<li>Experience with data governance for AI agents &mdash; guardrails, access control, and safety considerations for agentic analytics</li>
<li>Familiarity with data lakes, semantic layers, and orchestration tooling at scale</li>
<li>Experience in a product-led B2B SaaS environment</li>
<li>Hands-on streaming experience (e.g. Kafka or Flink)</li>
</ul>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

Trading 212

<div>OUR MISSION IS TO ENABLE EVERYONE TO BUILD WEALTH
We reinvent how trading and investing work by creating exceptional products people love.
Fostering a culture of excellence and high velocity is the key to our success.
Today, we serve over 6 million clients, with more than &euro;38 billion in assets under management, a testament to the scale and trust we&rsquo;ve built in just a few years.
Our frontend spans iOS, Android, and Web &mdash; all powered by a shared React Native monorepo.
We offer remote or hybrid working, depending on role, with flexibility balanced against team performance and collaboration needs.
What you'll do:<ul><li>
Lead the technical direction of a key frontend domain &mdash; spanning mobile and web &mdash; across the full product lifecycle, from shaping requirements through to delivery, monitoring and ownership.</li><li>
Drive the architecture of our frontend monorepo, making decisions that improve efficiency, performance and code reuse across iOS, Android, Web and Desktop.</li><li>
Lead a compact, autonomous, cross-functional team with short release cycles. Identify and develop your teammates' strengths through active mentorship and coaching.</li><li>
Develop solutions by taking a holistic approach to problem-solving &mdash; understanding business goals, UX constraints, platform limitations and the underlying architecture.</li><li>
Build for performance, accessibility and resilience &mdash; your code reaches millions of users and must perform reliably across a wide range of devices and conditions.</li><li>
Take the initiative to identify and drive improvements in product and engineering, raising the quality bar across the frontend organisation.</li></ul>
What you need to have:<ul><li>
Experience leading the development and release of a complex, high-demand client-facing frontend product.</li><li>
Experience leading, coaching and mentoring software engineers toward delivering high-quality software.</li><li>
Deep expertise in TypeScript and React Native (or React/Next.js).</li><li>
Advanced knowledge of state management patterns and solutions &mdash; TanStack Query, Zustand, Redux/RTK, or similar.</li><li>
Strong understanding of cross-platform frontend issues such as performance optimisation, rendering, animations, and offline behaviour.</li><li>
Experience designing scalable frontend solutions.</li></ul>
Nice to have:<ul><li>
Experience with monorepo structures and shared component systems.</li><li>
Experience with native mobile development (Swift/Kotlin).</li><li>
Experience with CI/CD pipelines and developer tooling at scale.</li><li>
Experience with Reanimated/RNGH for complex animation and gesture handling.</li><li>
Experience with WebSockets or other real-time data patterns.</li><li>
A strong product mindset that can seamlessly bridge the UX design with technical reality.</li></ul>
What we offer:<ul><li>
Challenges that will help you grow and realise your potential.</li><li>
Opportunity to make a big impact &mdash; you will lead innovative engineering used by millions of investors to build wealth.</li><li>
Work with smart, spirited, helpful, high-performing colleagues with a common goal.</li><li>
An environment where nothing is set in stone.</li><li>
Appreciation for your talent and ideas.</li><li>
Generous remuneration package including annual bonuses.</li><li>
Excellent social benefits package, including private health insurance and 25 days of paid vacation per year.</li></ul>
All applicants will be contacted, regardless of whether they are selected!
Are you ready to accelerate your career with us? We'd love to hear from you!
We process applicant data confidentially and in accordance with applicable data protection laws. We may use AI-powered tools to help review applications, but all hiring decisions are made by our human recruitment team. Where required by law, we rely on your consent to use these tools.
 
You may withdraw this consent or exercise your data protection rights at any time by contacting us.</div>

Staff React/React Native Engineer

Recare Gmbh

<div><h3 class="jobSectionHeader">Job Description</h3> 
About Recare
As one of the leading German HealthTech companies, we are reshaping discharge management, technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow, and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe. 
What you'll own as our Expert AI Product Designer 
You own end-to-end design across our product and agentic experiences, from problem framing to shipped code.
You design AI-native interactions: multi-modal interfaces, agent state, uncertainty, async workflows, and human-in-the-loop controls.
You contribute to the design system, shaping components, patterns, and AI-specific conventions.
You work with PMs and engineering to shape product and technical direction, not just design direction.
You lead critique and mentor other designers.
You collaborate with product, engineering, and data teams to consistently drive design outcomes. 
How we work 
We're AI-native. Our engineers reach for frontier coding agents every day to move fast across the whole stack, and we want strong, opinionated views on how to wield them well.
We build on the best models available and adopt new capabilities as they ship, not a release later.
Human-in-the-loop by default. This is healthcare: AI proposes, people stay in control, and we design the approval and validation loops that make that real.
We invest in the unglamorous foundations. Engineers get the time to build the eval harnesses, guardrails, and observability that make AI trustworthy in production, not just the feature on top.
We ship and observe: always deployable, telemetry-driven, fix in the open. 
Here's how we picture you as our Expert AI Product Designer
8+ years of product design experience
3+ years at Senior or Expert level
Proven ability to drive design outcomes in a high complexity environment
Fluency with AI design challenges
Experience owning or significantly contributing to a design system
Strong cross-functional instincts
AI-native with daily use of AI tools
Equally strong in UX process, UI craft, product thinking, research, storytelling, and cross-functional collaboration
End-to-end ownership of features
Bringing craft and polish to product experiences
High agency and systems fluency
Builder mindset with a focus on tangible outcomes
Excellent communicator with clarity and efficiency in verbal and written communication
Fluency in English; German language skills are a plus
Healthtech experience is a plus<h3 class="jobSectionHeader"> 
What We Offer:</h3> 
Purposeful work impacting patients, families, and healthcare professionals
Flat hierarchies promoting high performance and strong team dynamics
Environment characterized by mutual respect, loyalty, and recognition
Flexibility with remote-friendly setup and flexible working hours
Support for personal needs like picking up children or exercising during lunch
Edenred card for personal use
Extra vacation day for personal celebrations</div>

Expert AI Product Designer (m/w/d)

<div>About Recare 
As one of the leading German HealthTech companies, we are reshaping discharge management &ndash; technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow &ndash; and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe. 
What you'll own as our Tech Lead (Computer Use &amp; Integrations) 
 
You'll lead building Recare's Operator, our agent that gets AI-generated clinical output into hospital systems by operating their existing software the way a person would, no bespoke interface required. It's the sharp end of our integration strategy: where a clean interface exists we use it, and where one doesn't, the agent bridges the gap. You own that bridge end to end: the agentic, computer-use automation at the front and the integration backbone behind it. 
<ul><li>
You set the technical direction for computer-use automation and integrations end to end: architecture, standards, and roadmap.</li><li>
You ensure data flows between the hospital systems and Recare products, regardless of the interface.</li><li>
You will be the team's technical backbone and escalation point, setting the bar for clarity, speed, and shipping.</li><li>
You push the frontier of agentic, computer-use automation: deciding where model-driven approaches beat deterministic ones, and making them fast, reliable, and cheap enough for production.</li><li>
You make it run in the real world, robust across the messy reality of hospital IT, even if that means being close to the customer. This is the hard part, and the most satisfying.</li><li>
You build full-stack and hands-on, from the desktop agent to the APIs and telemetry around it, and you stay close to the code.</li><li>
You partner with product teams to turn ambiguous problems into shippable plans, and you go on-site with customers when that's what it takes to get it working.</li><li>
You invest in the observability foundations that make production trustworthy.</li></ul> 
How we work: 
<ul><li>
We're AI-native. Our engineers reach for frontier coding agents every day to move fast across the whole stack, and we want strong, opinionated views on how to wield them well.</li><li>
We build on the best models available and adopt new capabilities as they ship, not a release later.</li><li>
Human-in-the-loop by default. This is healthcare: AI proposes, people stay in control, and we design the approval and validation loops that make that real.</li><li>
We invest in the unglamorous foundations. Engineers get the time to build the eval harnesses, guardrails, and observability that make AI trustworthy in production, not just the feature on top.</li><li>
We ship and observe: always deployable, telemetry-driven, fix in the open.</li></ul> 
Here's how we picture you as our Tech Lead (Computer Use &amp; Integrations) 
 
<ul><li>You've led technical direction for a team or a significant system and driven it end to end into production, and you can point to what you actually shipped.</li><li>
You're a full-stack builder who's comfortable jumping across the stack (a TypeScript/Electron desktop one day, a Golang API or data layer the next), and you default to building rather than waiting.</li><li>
You're genuinely AI-pilled: you use AI coding agents daily, have real opinions about them, and you're excited (not nervous) to build agentic, computer-use systems.</li><li>
You're ambitious but frustration-tolerant. Hospital IT is complicated and progress is hard-won; you stay relentless, get your hands dirty, and work directly with customers when that's what moves things forward.</li><li>
You understand how to design and operate scalable backend systems, including APIs, data models, and integration-heavy architectures.</li><li>
You think in systems and trade-offs, and you actively drive for robust, maintainable, and simple solutions.</li><li>
You take ownership of your domain end-to-end &ndash; from conception to production and ongoing operations.</li><li>
You're fluent in German and English. German matters here because the clinical systems and the on-site hospital work happen in it.</li><li>
You are willing to travel (very) occasionally to hospitals together with a Technical Product Manager to work hands-on on integration challenges and iterate directly on site.</li><li>
You are based in Germany.</li><li>
You care about security, reliability, and data protection, especially in healthcare environments.</li><li>
Nice to have: experience with healthcare IT systems (HIS, KIS, PVS) and interoperability standards such as HL7 v2 or FHIR; Go experience is a plus.</li></ul> 
What we offer:<ul><li> 
Purposeful work &ndash; your role will have a positive impact on patients, their families, and healthcare professionals.</li><li>
Company culture &ndash; we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals &ndash; and expect the same from you.</li><li>
Flexibility &ndash; want to pick up your child from daycare? Like to exercise during lunch? We'll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement.</li><li>
Edenred card &ndash; which you can use according to your needs.</li><li>
Extra vacation day &ndash; so you can celebrate your birthday with your loved ones, you'll have the day off.</li></ul></div>

Tech Lead (Computer Use & Integrations) (m/w/d)

Moss

<div>At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.
Our team and culture make us unique &mdash; we&rsquo;re driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted&rsquo;s Rising 100 and LinkedIn's Top Startups, we&rsquo;re here to help propel your career and together, make Moss a lasting success.
We&rsquo;re expanding our Data &amp; AI team and looking for a senior/lead contributor who has hands-on LLM app/agent experience and is fluent in classical ML. You&rsquo;ll own end-to-end LLM/ML initiatives - from problem framing and modeling to evaluation, deployment, and iteration - directly improving core product workflows (invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist).
Your responsibilities<ul><li>
Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations.</li><li>
Define evaluation &amp; monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking.</li><li>
Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders</li></ul>
About you<ul><li>
5-10+ years in applied ML with production ownership of shipping models/systems.</li><li>
Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production.</li><li>
Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills.</li></ul><ul><li>
Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building.</li><li>
End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies</li></ul>
About Moss
Moss is a SaaS scale-up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe.
Our ambition is bold: to power every SMB&rsquo;s spend across Europe - fully digital, AI-driven, and seamlessly integrated for complete control. To date, over 5000 businesses in Germany, Netherlands and the UK use Moss&rsquo; leading spend management product, with modules such as corporate cards, accounts payables, employee cash reimbursements and procurement.
Moss has raised a total of &euro;180 million in funding and is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A-Star.
Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We&rsquo;re a place where you can fast track your career - here's what else to expect:<ul><li>
Top-of-market compensation package, including equity.</li><li>
Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.</li><li>
Additional benefits include: 20 days &ldquo;work from abroad&rdquo;, 600EUR/GBP Learning &amp; Development Budget, and other local benefits.</li></ul>
Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).
By applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Policy.</div>

Senior Data Scientist (f/m/d)

Xenon7

<div>About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional AI &amp; ML Professionals ready to solve real-world problems and shape the future of intelligent systems.
Location: Remote (Europe - CET) 
Experience: 5+ Years
Project Duration: ~ 2 months (B2B contract) 
Availability: Immediate Joiner
Role Overview
We are seeking a visionary and highly skilled Senior Data Scientist to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.<ul><li>
Architect Document Intelligence Solutions: Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li>
Develop LLM &amp; Retrieval Systems: Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li>
End-to-End ML Pipelines: Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li>
Bridge Chemistry &amp; AI: Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li>
Cloud Architecture &amp; Deployment: Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li>
Cross-Functional Collaboration: Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul> 
Requirements 
<ul><li>
Professional Experience: 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li>
Domain Expertise: A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li>
Core Technical Stack: Advanced proficiency in Python and deep hands-on experience with the AWS cloud stack (e.g., SageMaker, Lambda, S3, EC2).</li><li>
Generative AI &amp; Search: Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li>
ML/DL Mastery: Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li>
Document Processing (Plus): Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li>
Soft Skills: Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul> 

Benefits 
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.<ul><li>
Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
Flexible &amp; Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

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