Field Productivity & Enablement Lead

🏢 Summary: Senior Frontend Engineer role focused on building performant, scalable, and user-friendly web interfaces for a core AI platform. The position involves owning critical parts of the frontend stack, collaborating cross-functionally, and driving major product initiatives that enable users to deploy and manage AI systems at scale. The role emphasizes React, TypeScript, and modern web technologies to deliver high-quality production-grade applications. 🗂️ Requirements: 5+ years building production-grade web applications, Expertise in React, Expertise in TypeScript, Experience with modern web development tooling, Experience building performant and scalable UIs, Experience working in cross-functional product teams, Strong communication and collaboration skills 📃 Skills: React, TypeScript, JavaScript, HTML, CSS, WebSockets, Tailwind, Next.js 🏢 Description: ABOUT BASETEN Baseten powers mission-critical inference for leading AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling to bring cutting-edge models into production. THE ROLE We’re looking for a Senior Frontend Engineer to craft performant and delightful user experiences across the core platform. You’ll own critical parts of the web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale. EXAMPLE INITIATIVES - Chains for multi-component workflows - Asynchronous inference - Model APIs for frontier models - Model training built for production inference RESPONSIBILITIES - Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript - Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs - Optimize application performance and reliability, with a focus on rendering speed and responsiveness - Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows - Establish best practices and mentor other engineers on frontend technologies - Build reusable component libraries and frontend infrastructure that accelerate product development - Partner with backend and platform teams to define and refine APIs and end-to-end flows REQUIREMENTS - 5+ years of experience building production-grade web applications - Deep expertise in React, TypeScript, and modern web development tooling - Track record of building well-crafted, performant, and scalable UIs - Strong product intuition and empathy for the user experience - Experience working in cross-functional product teams in a fast-paced environment - Excellent communication and collaboration skills NICE TO HAVE - Familiarity with Tailwind CSS, Next.js, or other modern frontend frameworks - Background in developer tools or data/ML infrastructure products - Experience with WebSockets, real-time data, or custom visualization tooling - Contributions to open-source projects or public engineering work BENEFITS - Competitive compensation, including meaningful equity - 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (offices closed from Christmas Eve to New Year's Day) - Paid parental leave - Fertility and family-building stipend through Carrot - Company-facilitated 401(k) - Exposure to a variety of ML startups, offering learning and networking opportunities Compensation Range: $190K - $300K

🏢 Summary: Own and lead the development of a production-grade Voice AI inference stack, building and operating real-time, large-scale model serving systems for speech and voice agent workloads. The role covers end-to-end ownership from architecture and system design to deployment and long-term production operations. You will collaborate cross-functionally to deliver high-performance Voice AI infrastructure with strict latency requirements. 🗂️ Requirements: Bachelor's degree in Computer Science or related field, Experience owning production-grade real-time large-scale systems, Experience with low-latency systems where p99 latency matters, Strong programming skills in at least one language, Ability to design and operate high-performance model serving systems, Experience with cross-team technical collaboration, Comfortable using AI coding assistants daily 📃 Skills: Python, Docker, Kubernetes, STT, TTS, vLLM, TensorRT, ONNX, PyTorch, Whisper 🏢 Description: ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.THE ROLE:Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build". You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries.This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI.EXAMPLE INITIATIVES:The world's fastest Whisper — with streaming and diarizationCanopy Labs selects Baseten for Orpheus TTS inferenceCollaborate with the Core Product team on the orchestration framework to build a multi-model voice agentCollaborate with the Training Platform team to enable continuous training of voice modelsDesign an ergonomic, developer-friendly API and SDK that enables self-serve adoption of Baseten Voice AI products.RESPONSIBILITIES:Own and lead Voice AI product areas end-to-end — from architecture and system design through implementation, rollout, and long-term production operations.Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads with clear SLOs for mission-critical customer deployments.Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, aligning on priorities, and coordinating end-to-end delivery across the product surface area.Mentor teammates through code reviews, design docs, and technical leadership.REQUIREMENTS:Bachelor's degree or higher in Computer Science or related fieldProven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters.Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.Good taste in product, particularly developer-oriented toolsInterest in ML/AI infrastructure and willingness to learnStrong collaboration and communication skillsComfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill.NICE TO HAVE:Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements.Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products.Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX).Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issuesExposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions.BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveFertility and family-building stipend through CarrotCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).Compensation Range: $165K - $330K

🏢 Summary: Founding Engineer role focused on building and deploying real-time speech-to-text systems for military and emergency units operating in constrained environments. You will work closely with founders to design and implement low-latency Voice AI solutions in Python, owning projects end-to-end in high-stakes, resource-limited conditions. The position offers significant ownership, equity, and the opportunity to deliver production systems used directly in the field. 🗂️ Requirements: Experience implementing Voice AI systems in compute-, connectivity-, or latency-constrained environments, Experience with audio processing and real-time, low-latency systems, Strong Python programming skills, Ability to build and ship production systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, Speech-to-text, Audio, Real-time, Low-latency, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Founding engineer role focused on building and deploying bespoke real-time speech-to-text systems for military and emergency units operating in constrained, high-stakes environments. The position involves evolving the early technical stack and delivering low-latency Voice AI solutions in Python that are used directly in the field. You will own end-to-end development in a fast-moving, early-stage setting with real operational impact. 🗂️ Requirements: Experience implementing Voice AI systems in compute- or latency-constrained environments, Strong experience with real-time audio processing systems, Proficiency in Python for production systems, Experience building low-latency systems, Ability to design and ship systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, SpeechToText, AudioProcessing, RealTimeSystems, LowLatency, MachineLearning, SignalProcessing 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Founding Product Manager role in a defence software startup building modern software for military and police units. The position focuses initially on deep customer and competitive research in voice LLM systems, then transitions to owning the product roadmap and execution with engineering. It requires zero-to-one product building in a high-ambiguity, early-stage environment. 🗂️ Requirements: Experience working with armed forces or police organisations, Eligibility for French security clearance or willingness to travel to Ukraine, Ability to translate customer needs into technical requirements, Experience with early-stage or zero-to-one product development, Strong stakeholder management between technical and operational teams, Comfort with rapid prototyping and iterative development 📃 Skills: LLM, VoiceAI, AI, Prototyping, Roadmapping, Prioritization, Research, CompetitiveAnalysis, StakeholderManagement, SecurityClearance 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team role. As Founding Product Manager, you'll be the bridge between customers, engineering, and the business — working directly with the founders to shape what gets built and why. In the early phase, the focus will be heavily on customer and competitive research, particularly around state-of-the-art voice LLM systems. Over time, the role transitions into roadmap ownership and close collaboration with the engineering team to execute. You'll need to be comfortable starting from scratch, handling ambiguity, engaging in rapid prototyping, and doing things that don't scale yet. This is not a role for someone who needs a mature process to be effective. WHAT YOU'LL WORK ON Customer research and discovery Spend time directly with customers — military and emergency services units — to understand their needs, workflows, and the gap between current product capabilities and ideal solutions. Build a deep understanding of the competitive landscape, particularly in voice AI. Engineering communication and prioritisation Translate customer requirements into clear, prioritised inputs for the engineering team. Own the process of closing the gap between what the product does today and what customers need it to do. Roadmap ownership Work closely with the founders to align product development with overall business strategy. Manage the roadmap for the first products from the ground up. Rapid prototyping and iteration Be prepared to move fast, test assumptions quickly, and do things that don't scale in order to generate the signal needed to make better decisions. WHAT WE LOOK FOR Experience working with armed forces Prior experience working within or alongside military or police organisations is essential. You understand how these customers think, communicate, and make decisions. Security clearance eligibility Ability to obtain French security clearance, or willingness to travel to Ukraine for customer engagements. Comfort with ambiguity and zero-to-one work You're energised by early-stage environments where the brief is incomplete and the path isn't defined. You build structure rather than wait for it. Strong communication and stakeholder management Able to operate fluently between technical engineering teams and non-technical operational customers, keeping both aligned without losing either. Bonus Founder or entrepreneurial experience. Familiarity with voice AI or LLM systems. Background in defence, intelligence, or emergency services. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 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 DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Remote B2B backend engineering role focused on architecting and owning the core platform for a predictive intelligence system, including authentication, AI orchestration, storage, billing, and observability. The position involves full system ownership and direct influence on technical decisions in a fast-moving environment. The engineer will design scalable, production-grade services integrating LLMs and cloud infrastructure. 🗂️ Requirements: 4+ years backend engineering experience, Proficiency in Python or Node.js, Experience building production RESTful APIs, Hands-on experience with GCP services, Experience integrating and tuning LLM APIs, Experience with Stripe or similar billing systems, Experience owning end-to-end systems, Strong debugging skills, Performance tuning expertise, Reliability engineering fundamentals 📃 Skills: Python, Node.js, REST, GCP, CloudRun, BigQuery, CloudSQL, VertexAI, OpenAI, Anthropic, Stripe, Firebase, Redis, DuckDB, Kafka, PubSub, pgvector, SQL, LLM 🏢 Description: Location: 100% Remote (Poland) Contract: B2B (via Entrada AI Poland) ABOUT ENTRADA AI Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. This is a rare distinction: Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans and Databricks MVPs. We look for engineers who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges for Fortune 500 clients using features often before they are widely available. The Role: You'll be joining the team as a backend engineer responsible for architecting and owning the core platform powering the predictive intelligence system. This includes authentication, metering, AI pipeline orchestration, and billing. You'll work directly with leadership and influence every major technical decision. What You'll Own: - Authentication & Identity: Firebase Auth, SSO foundations, tenant/user modeling, tier-based feature gating - RCA Engine: Vertex AI/Gemini integration, prompt engineering, structured response parsing, high-performance request routing - Storage & Data Layer: Redis for ephemeral RCA storage, DuckDB + Kafka (Pub/Sub on GCP) for persistent data, Cloud SQL + pgvector for embeddings - Quota & Usage Management: Monthly RCA limits, trial tracking, enforcement logic, upgrade triggers - Billing & Subscriptions: Stripe integration, webhooks, lifecycle automation, tier transitions - Observability & Reliability: Logging, metrics, tracing, error tracking, audit logs, health checks You Should Have Required: - 4+ years backend engineering experience (Python or Node.js preferred) - Production RESTful API experience - Hands-on GCP services experience (Cloud Run, BigQuery, Cloud SQL, or equivalents) - LLM API integration and tuning experience (Vertex AI, OpenAI, Anthropic, etc.) - Stripe (or similar) billing/subscription integration experience - End-to-end system ownership in fast-moving teams - Strong debugging, performance tuning, and reliability engineering fundamentals Nice to Have: - Firebase Authentication (or equivalent identity platforms) - Redis for caching or ephemeral data - Apache Iceberg, data lakes, or multi-tier storage design - Freemium/tiered SaaS product experience THE OFFER Competitive Salary: 160-180/h Start: ASAP Stable Employment: Contract signed with our Polish entity (Entrada AI Poland). 100% Remote: Full flexibility to work from anywhere in Poland. Apple Hardware: Macbook Air M4 15" provided. Referral Bonus: Bonus for bringing other top-tier engineers to the team. Professional Growth RECRUITMENT PROCESS Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations. Technical Interview (60 min): Deep dive into your technical skills with our engineering team. Optional Client Interview: Required only in specific cases. Decision & Offer: We aim to close the process efficiently.