Founding Technical Recruiter

🏢 Summary: High-impact full stack Applied AI role focused on designing, building, and scaling end-to-end systems for a B2B financial operations platform. You will own projects from architecture to production, delivering scalable backend services and modern frontend experiences while collaborating closely with cross-functional teams and customers. The role combines deep technical execution with system design, cloud infrastructure, and engineering leadership in a fast-growing startup environment. 🗂️ Requirements: 5+ years full stack engineering experience, Strong proficiency in Python, Strong proficiency in TypeScript, Experience building scalable backend services, Experience building modern frontend applications, Expertise in database design, Expertise in API development, Strong system architecture knowledge, Experience with modern frontend frameworks (Vue.js, React, or Angular), Experience with backend frameworks (Django, FastAPI, Flask, or Node.js), Hands-on experience with cloud platforms, Experience with containerization, Experience with CI/CD pipelines, Ability to lead complex cross-stack projects, Experience mentoring engineers 📃 Skills: Python, TypeScript, Vue, React, Angular, Django, FastAPI, Flask, Node.js, AWS, GCP, Azure, CI/CD, APIs, Microservices, SQL, Containers 🏢 Description: Stuut is transforming accounts receivable for B2B companies, making collections smarter and faster for organizations that have historically relied on manual, labor-intensive processes. The platform is used by finance teams across industrials, chemicals, and manufacturing sectors, from Fortune 10 brands to scaling midmarkets. The Role We’re hiring a Member of Technical Staff – Applied AI, Fullstack to design, build, and scale end-to-end systems that power Stuut’s platform for B2B financial operations. You’ll work closely with Product, Design, Backend, and Frontend teams, as well as customers, to deliver seamless, high-performance experiences across the entire stack. This is a high-impact role for someone who can own projects from inception through scaling, think across systems, and deliver reliable, user-centered solutions. You’ll play a critical role in shaping engineering culture and product experience, ensuring full stack systems are elegant and scalable. What You’ll Do - Drive the full stack technical vision through cross-functional collaboration across product, design, and engineering. - Lead complex projects spanning frontend, backend, and system integrations, from API design to polished user experiences. - Build end-to-end features from database schema to production-ready UI, ensuring seamless data flow, scalability, and performance. - Design and implement robust backend services, APIs, and microservices while crafting intuitive, responsive frontend experiences. - Continuously improve engineering processes, tools, and systems to scale productivity, reliability, and velocity. - Recruit, mentor, and develop engineering talent, fostering a culture of excellence, humility, and speed. - Engage directly with customers to understand and solve complex workflow challenges. You Might Be a Fit If You… - Have 5+ years of full stack engineering experience with a track record of delivering products at scale. - Are highly skilled in Python and TypeScript, with experience building robust backend services and modern frontend applications. - Have strong expertise in database design, API development, and system architecture. - Are proficient in modern frontend frameworks like Vue.js, React, or Angular and backend frameworks such as Django, FastAPI, Flask, or Node.js. - Have hands-on experience with cloud platforms (AWS, GCP, Azure), containerization, and CI/CD pipelines. - Thrive in early-stage startup environments and enjoy building systems and processes from scratch. - Enjoy engaging directly with customers to shape technical solutions. - Have experience mentoring engineers and shaping high-performing engineering cultures. - Are committed to continuous learning and solving customer pain points through scalable solutions. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) - Medical, dental & vision insurance coverage - 401(k) & match - Equity - Flexible PTO - Parental leave Compensation Range: $185K - $250K

🏢 Summary: Founding Data Engineer role responsible for building and owning the entire data stack, transforming raw financial and ERP data into reliable datasets, analytics, and ML-ready pipelines that power product intelligence and business decisions. You will design scalable data infrastructure, canonical models, and metric layers from scratch in a fast-growing fintech environment. 🗂️ Requirements: 3+ years building production data pipelines with Python, Strong SQL proficiency, Experience with cloud data warehouses (Snowflake or BigQuery), Experience implementing ETL/ELT workflows with dbt, Airflow, or similar tools, Experience designing data models and canonical schemas, Experience building or contributing to semantic/metrics layers, Experience working with SaaS APIs, ERPs, and third-party integrations, Focus on data quality, testing, lineage, and observability 📃 Skills: Python, SQL, Snowflake, BigQuery, dbt, Airflow, ETL, ELT, DataOps, DataModeling, APIs, ERP, MachineLearning 🏢 Description: Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… Have 3+ years of hands-on experience building production data pipelines using Python Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it Care deeply about data quality and observability — freshness, lineage, automated testing, and anomaly detection as first-class concerns Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack Have experience (or strong interest) in fintech, B2B SaaS, or financial data — understanding AR/AP workflows is a big plus Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $135K - $190K

🏢 Summary: Design and deploy production-grade voice and audio AI systems for enterprise finance workflows, building real-time voice agents and speech-driven automations. The role focuses on fine-tuning speech and multimodal models, engineering scalable low-latency AI pipelines, and integrating conversational AI into a SaaS platform. You will translate cutting-edge audio and LLM research into reliable, measurable business impact for B2B financial operations. 🗂️ Requirements: 5+ years software engineering experience, 2+ years experience in applied AI/ML, speech, or audio systems in production, Experience building and shipping voice, audio, or conversational AI systems, Experience with speech-to-text, text-to-speech, audio processing, or multimodal models, Experience integrating and fine-tuning LLMs for conversational or agent-based systems, Knowledge of LLMOps/MLOps practices including deployment, monitoring, evaluation, and A/B testing, Proficiency in Python, Experience with PyTorch, TensorFlow, Transformers, or audio ML frameworks, Experience building real-time or low-latency systems, Experience integrating AI systems into enterprise or SaaS platforms 📃 Skills: Python, PyTorch, TensorFlow, Transformers, LLMs, Speech-to-text, Text-to-speech, Audio, Multimodal, MLOps, LLMOps, A/B testing, Streaming, SaaS 🏢 Description: The Role We’re hiring a Member of Technical Staff – Audio and Voice AI Systems to design, build, and deploy AI-powered voice and audio systems that solve real-world financial operations challenges. You’ll take state-of-the-art research in speech, audio, and multimodal AI and translate it into production-grade, real-time voice experiences that deliver measurable customer impact. From intelligent voice agents that interact with customers to audio-driven workflow automation and speech-based data extraction, you’ll create scalable, reliable AI systems that integrate seamlessly into the platform. Your work will directly shape how finance teams and their customers interact through voice. This is a hands-on role for an engineer who thrives at the intersection of audio AI, real-time systems, and practical business impact—turning cutting-edge models into trusted, delightful voice experiences for enterprise finance workflows. What You’ll Do - Build & Deploy Voice AI Systems: design and ship production-ready audio and voice-based AI features, including real-time voice agents and speech-driven workflows. - Craft High-Quality Voice UX: use modern speech-to-text, text-to-speech, and conversational AI platforms to create natural, responsive, and emotionally aware voice experiences tailored to financial use cases. - Adapt & Fine-Tune Audio and Multimodal Models: fine-tune and optimize speech, audio, and LLM-based models for accuracy, latency, and reliability in real-world environments. - Engineer Real-Time, Scalable AI Pipelines: build end-to-end AI/ML pipelines spanning audio ingestion, streaming inference, orchestration, and monitoring with enterprise-grade availability and performance. - Establish Evaluation & Monitoring Frameworks (LLMOps): design rigorous evaluation systems to measure quality, latency, accuracy, drift, and business outcomes for voice and text-based AI systems. - Automate Financial Workflows via Voice: develop AI-powered voice automations that reduce manual effort in collections, reconciliation, and customer communication. - Collaborate Cross-Functionally: partner with Product, Engineering, Design, and customers to translate business needs into effective, user-centered voice AI solutions. - Measure & Communicate Impact: define success metrics and continuously improve AI systems based on real-world usage and customer feedback. You Might Be a Fit If You… - Have 5+ years of software engineering experience, with 2+ years focused on applied AI/ML, speech, or audio systems in production. - Have built and shipped voice, audio, or conversational AI systems used by real customers. - Have experience with speech-to-text, text-to-speech, audio processing, or multimodal models. - Have integrated and fine-tuned LLMs for conversational or agent-based systems. - Understand LLMOps / MLOps best practices, including deployment pipelines, monitoring, evaluation, and A/B testing. - Are fluent in Python and experienced with PyTorch, TensorFlow, Transformers, or audio ML frameworks. - Have built real-time or low-latency systems and understand the tradeoffs involved. - Can translate business and UX requirements into robust, scalable AI solutions. - Have experience integrating AI systems into existing enterprise or SaaS platforms. - Enjoy working on ambiguous problems where product definition, UX, and engineering meet. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) - Medical, dental & vision insurance coverage - 401(k) & Match - Equity - Flexible PTO - Parental Leave Compensation Range: $220K - $320K

🏢 Summary: Senior or Staff Product Engineer role focused on building and shipping intuitive, high-performance end-to-end web product experiences in an AI-native accounting platform. The position involves owning full-stack feature delivery from UI to server-side logic, collaborating directly with leadership and design, and setting engineering best practices. The role requires strong frontend expertise, cloud infrastructure knowledge, and hands-on work with modern AI tooling. 🗂️ Requirements: 5+ years of full-stack product engineering experience, Proven experience building and shipping production web applications, Strong practical experience with React and TypeScript, Experience designing and working with AWS or GCP cloud infrastructure, Ability to design and implement scalable server-side logic, Experience delivering end-to-end features from frontend to backend, Ability to work on-site 4–5 days per week in Wrocław 📃 Skills: TypeScript, React, Node.js, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, GitHub, Figma, LLM 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Product Engineer with a strong track record of building intuitive, performant end-to-end product experiences. The defining quality of this role is craft — you care deeply about how things feel to use, and you're energised by the opportunity to make software feel like magic because AI is doing real work behind the scenes. You'll work directly with the CEO, Operations, AI, and Design teams to scope and ship user-facing features. There's no product manager layer here — you'll engage directly with users, iterate quickly, and own the quality of what you deliver from UI through to server-side logic. WHAT YOU'LL WORK ON End-to-end feature delivery Work directly with the CEO, Operations, AI, and Design teams to scope and ship polished, scalable user-facing features with beautiful UI components and robust server-side logic. Engineering best practices Redefine what best-in-class software development looks like for the team. You'll set the standard, not follow it. Technology evaluation Continuously research and evaluate new technologies to improve the speed, scalability, and performance of the product. Bring recommendations and drive adoption. User-focused iteration Engage directly with users to understand how the product is being used, iterate quickly, and deliver experiences that feel genuinely polished — not just functional. WHAT WE LOOK FOR 5+ years of full-stack product engineering A strong track record building and shipping full-stack production web applications that real users depend on. Modern frontend fluency Deep practical experience with React and TypeScript. You write frontend code that is fast, accessible, and maintainable — and you have an eye for detail in UI. Cloud infrastructure experience Familiarity with AWS or GCP architecture and design patterns, and an understanding of how infrastructure choices affect product performance and reliability. Strong communication Clear written and verbal communication. You can articulate trade-offs, give and receive direct feedback, and work well without a lot of process around you. Bonus Experience as a founder or early founding team member. Familiarity with modern LLM tooling and AI-assisted development (Cursor, Claude Code, etc). Background in finance or accounting. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend services for a modern accounting platform. The position involves designing distributed systems, building secure and high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to build scalable data pipelines and incident response infrastructure. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing and operating production backend systems at scale, Strong expertise in API design and data modelling, Deep understanding of distributed systems and architectural trade-offs, Hands-on experience with AWS or GCP in production environments, Practical experience with CI/CD pipelines and automated testing, Experience building and maintaining observability and on-call practices 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems, DataModelling, Observability 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Staff Data Scientist (Tech Lead) role focused on building and scaling real-time AI-driven decisioning systems to improve product conversion. The position combines hands-on machine learning leadership with technical ownership of production ML pipelines and experimentation strategy. You will drive advanced ML initiatives including recommendation systems, uplift modeling, and LLM-based personalization in low-latency environments. 🗂️ Requirements: 10+ years experience in Data Science with production ML systems, Expert-level Python and SQL, Strong experience with PySpark or Apache Spark, Experience building real-time ML systems with strict latency constraints, Proven experience with gradient boosting and recommendation systems, Strong background in A/B testing and causal inference, Experience building ML pipelines on AWS, Hands-on experience with LLMs including fine-tuning and evaluation, Experience with feature engineering and model monitoring in production 📃 Skills: Python, SQL, PySpark, Spark, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, AWS, Databricks, LLMs, NLP, Clustering, Uplift, Bandits, ABTesting, CausalInference 🏢 Description: We are looking for a Staff Data Scientist to join a Growth Alliance team at the Tech Lead level. This role goes beyond hands-on data science, it requires a candidate who can set technical direction, lead complex ML initiatives, and act as a strategic partner to business stakeholders. You will operate at the intersection of advanced machine learning, real-time systems, and product growth. About the Project: This is a Staff / Tech Lead position within a team driving AI-powered decisioning at scale. You will work on systems with strict real-time constraints (<40 ms latency) that directly impact end-user experience and conversion. The mission is to move the product toward AI-driven decisioning, targeting a measurable improvement in conversion (~5%). You will be expected to challenge assumptions, define the technical roadmap, and ensure that ML systems perform reliably in production. Responsibilities: Lead the design and implementation of production ML systems, including real-time decisioning and personalization engines; Drive adoption of contextual bandits, uplift modeling, and advanced recommendation frameworks; Define experimentation strategy including A/B testing, causal inference, and synthetic controls; Oversee feature engineering at scale and ensure robust model monitoring and validation practices; Act as a technical owner for decisioning platforms and Martech integrations; Collaborate with and influence senior business stakeholders to shape data science strategy; Guide and mentor other data scientists on the team; Lead GenAI and LLM-based initiatives including fine-tuning, evaluation, and content personalization. Qualifications: 10+ years of experience in Data Science, with a strong track record in production ML systems; Expert-level Python (NumPy, Pandas, Scikit-learn) and SQL; Deep experience with PySpark / Apache Spark for large-scale data processing; Mastery of gradient boosting methods (XGBoost, LightGBM), recommendation systems, NLP, clustering, and uplift modeling; Extensive experience with A/B testing, causal inference, statistical modeling, and synthetic controls; Proven ability to build and maintain production ML pipelines on cloud platforms (AWS preferred); Experience with decisioning platforms, personalization engines, and Martech integrations; Hands-on experience with LLMs, prompt engineering, evaluation, and fine-tuning; Strong stakeholder management skills with the ability to challenge assumptions and ask the right questions; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Hands-on Staff Software Engineer role focused on leading architecture and delivering AI-driven, production-grade platforms in a forward-deployed model. Combines technical leadership, direct client partnership, and deep involvement in building scalable distributed systems. Emphasizes Applied AI integration, mentorship, and ownership of technology decisions. 🗂️ Requirements: 7+ years of experience building web applications, 2+ years in a technical leadership role (Tech Lead or similar), Deep expertise in Python, Proven experience with complex, asynchronous, distributed systems, Ability to design and drive large-scale system architecture, Experience integrating AI/ML into production systems, Fluent English (C1/C2) 📃 Skills: Python, Ruby, PostgreSQL, AWS, Docker, Kubernetes, CI/CD, AI, ML 🏢 Description: Upside is a software consultancy built by engineers, for engineers. We partner with global companies to solve real, complex technical challenges. We’re deep into Applied AI and R&D, building both production-grade platforms for clients and our own open-source tools like Enthusiast (Agentic AI framework). We operate in a Forward-Deployed model. We don’t sit behind a wall of specs or wait for the tickets. We get into the trenches with the client, identify the actual challenges, and take full ownership of the solution. Our teams are small (3–9 people), autonomous, and cross-functional. What it means for you You are the technical North Star. You’ll be a peer and advisor to CTOs and founders, shaping the technical direction of their business. This is a hands-on leadership role: you’ll stay close to the code while guiding teams through massive architectural decisions. You have the mandate to choose the best tools and the responsibility to ensure technical excellence is a lived standard, not just a goal. You’ll mentor the next generation of engineers while pushing the boundaries of Applied AI. This is about scaling both systems and people. Role Overview As a Staff Software Engineer, you will guide engineering teams in delivering AI-driven solutions and production-grade platforms. You’ll balance high-level strategy with execution, ensuring that our architecture is resilient and our engineers are growing. Responsibilities Technical Vision: Drive the architecture and technology choices for large-scale, distributed systems. Strategic Partnership: Partner directly with clients and founders to co-create solutions that move the needle. Mentorship: Foster a culture of knowledge sharing and constructive feedback. Systemic Problem Solving: Anticipate technical debt and architectural risks before they impact the business. AI Leadership: Identify and implement opportunities to integrate AI/ML into client ecosystems. Requirements Experience: 7+ years of building web applications, with 2+ years in a leadership role (Tech Lead or similar). Core expertise: Deep mastery of Python. Ruby knowledge is a plus - it's present in some of our projects, but we are Python-first. Architectural Depth: Proven ability to oversee complex, asynchronous, and distributed systems. Consulting: Exceptional ability to balance technical depth with business context. AI-Native: You treat AI tooling (Claude, Cursor, and others) as a core part of your workflow, not a novelty - and you know how to multiply team velocity with it. English: Fluent (C1/C2) for high-level strategic discussions. Tech Stack: Python, Ruby, PostgreSQL, AWS, Docker, Kubernetes, CI/CD. Value Proposition Built for the long run We hire for the company, not just a project - looking for passion driven engineers who want to grow with Upside over time Small teams, real accountability. 3-9 people per engagement. We're small by design. That means your decisions carry weight and you are visible. Mission-critical work: We handle complex  projects that move the needle for international brands. Our clients are scaling companies, established international brands, and large institutions. The systems you build will be under real load, with real stakes. Real Ownership: You take part in the decision making process on technology and implementation..You’re empowered to take initiative, experiment, and drive solutions that create real impact. No Micromanagement: We trust you to own your work and deliver outcomes - no unnecessary oversight. Collaborative R&D: Contribute to targeted Open-source projects and internal AI research. Growth through challenges: Complex problems and direct client exposure means you’ll grow by action. Applied AI as a first-class discipline. We don't bolt AI onto projects as an afterthought. You'll identify where it genuinely moves the needle and lead the implementation - on client work and on our own open-source tooling. The tools you want. If something makes you faster or sharper, we want you using it. Transparent progression path. We have defined engineering levels with clear criteria - you'll know exactly what each role looks like, and what it takes to get from one to the other. No ambiguity, no waiting for someone above you to move on Compensation & Location Staff Software Engineer: 26 500- 37 000 PLN net + VAT Location: Office in Kraków, hybrid, fully-remote. If you didn't find all the information you were looking for, have a look at our handbook - it covers a variety of different matters that could be important at this stage. If there's anything else we did not mention that you're interested in - share your thoughts with us careers@upsidelab.io

🏢 Summary: Senior Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position involves driving AI-powered solutions, shaping cloud-native architecture on AWS, and solving complex scalability and performance challenges across distributed systems. The role operates across multiple teams, influencing technical strategy and mentoring senior engineers. 🗂️ Requirements: 8+ years of software engineering experience, Experience designing and delivering large-scale SaaS applications, Experience with complex distributed systems, Strong backend expertise in Python and/or PHP, Strong system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS cloud environments, Experience with CI/CD pipelines and observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position drives cross-team architectural decisions, scalability improvements, and adoption of AI-powered and LLM-based solutions. It emphasizes system-level impact, mentorship of senior engineers, and cloud-native platform evolution. 🗂️ Requirements: 8+ years software engineering experience, Experience designing large-scale SaaS applications, Experience with distributed systems, Strong backend expertise in Python or PHP, Solid system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS environments, Experience with CI/CD pipelines, Experience with observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.