Brand Designer

🏢 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: 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: Senior individual contributor role responsible for defining and scaling the sales operating model, methodology, and enablement framework to make the sales motion clear, repeatable, and effective. The position focuses on designing sales processes, improving pipeline and forecast rigor, delivering training, and driving adoption across cross-functional teams. The role partners closely with sales leadership and RevOps to improve qualification, deal progression, and overall sales execution. 🗂️ Requirements: Experience defining and implementing sales operating models, Proven ability to design sales stages, qualification standards, and pipeline processes, Strong knowledge of sales methodologies such as MEDDIC, MEDDPICC, Command of the Message, Challenger, Experience delivering sales training and coaching managers and reps, Ability to drive cross-functional alignment between Sales, RevOps, Product, Marketing, and Support, Experience improving forecast accuracy, pipeline quality, and win rates, Background in sales, sales enablement, RevOps, sales strategy, or sales transformation 📃 Skills: MEDDIC, MEDDPICC, CRM, PipelineManagement, Forecasting, SalesEnablement, RevOps, AccountPlanning 🏢 Description: ABOUT BASETEN Baseten powers mission-critical inference for leading AI companies by combining applied AI research, flexible infrastructure, and developer tooling to help teams bring cutting-edge models into production. THE ROLE The Field Productivity & Enablement Lead is responsible for making the sales motion clear, practical, and repeatable. This senior individual contributor defines how the company sells, how managers run the business, how reps qualify and advance deals, and how sales collaborates with FDE, product, marketing, and support. The role shapes the system and builds the playbooks, training, and coaching required to ensure consistent execution. RESPONSIBILITIES Manage operating model. Define core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Establish clear expectations for deal inspection, rep coaching, and consistency. Sales process and stage design. Partner with sales leadership and RevOps to define stages, exit criteria, qualification standards, and pipeline mechanics. Ensure CRM and tooling reinforce the process. Cross-functional engagement. Clarify how sales works with FDE, solutions architects, product, marketing, and customer support. Define handoffs and decision points to avoid confusion and duplicated effort. Methodology, skills, and training. Codify the sales methodology and build the associated training. Deliver enablement sessions and coach managers and reps to improve qualification, deal progression, and account planning. Behavior change and adoption. Measure adoption of the sales process and identify areas for improvement to enhance ramp time, pipeline quality, forecast accuracy, and win rates. REQUIREMENTS Strong understanding of effective sales execution and ability to translate it into structured systems. Ability to diagnose sales process gaps and redesign frameworks. Credibility with sales leaders, managers, and reps. Experience driving change across functions. Background in sales leadership, enablement, RevOps, sales strategy, or consulting. BENEFITS Competitive compensation including meaningful equity. 100% coverage of medical, dental, and vision insurance for employees and dependents. Flexible PTO policy including company-wide Winter Break. Paid parental leave. Fertility and family-building stipend. Company-facilitated 401(k). Exposure to a variety of ML startups. Compensation Range: $185K - $205K

🏢 Summary: Contract B2B role for a senior engineer to rebuild a 401(k) retirement plan administration platform from scratch with an AI-native foundation, owning end-to-end delivery across AWS infrastructure, JVM backend, and TypeScript frontend. The position involves architectural decision-making, close collaboration with US-based stakeholders, and translating complex financial domain rules into scalable software. Strong emphasis on AI-assisted engineering practices and greenfield system design in a regulated, transactional environment. 🗂️ Requirements: 7+ years professional software engineering experience, Senior or staff-level system design experience, Strong JVM backend experience (Kotlin, Java, or Scala), Solid TypeScript frontend experience (React, Angular, or similar), Production experience with AWS, Deep understanding of VPCs, IAM, RDS, Lambda or ECS, Experience with Infrastructure as Code (Pulumi, Terraform, or CDK), Experience designing non-trivial distributed systems, Fluent English, Experience in regulated or transactional domains, Ability to work with US East Coast time overlap 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B 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. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. 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: Contract role for a senior engineer to rebuild a 401(k) plan administration platform from scratch with an AI-native foundation. The position involves end-to-end ownership of architecture and delivery across AWS infrastructure, Kotlin backend, and TypeScript frontend in close collaboration with US-based stakeholders. You will shape system design decisions and implement core financial domain logic in a greenfield environment. 🗂️ Requirements: 7+ years professional software engineering experience, Strong JVM backend experience (Kotlin, Java, or Scala) in production, Hands-on TypeScript frontend experience (React, Angular, or similar), Production experience with AWS and cloud infrastructure design, Experience designing non-trivial system architectures, IaC experience (Pulumi, Terraform, or CDK), Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing), Ability to work with US East Coast time overlap, Fluent English, Experience using AI coding tools in daily workflow 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B 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. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. 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: 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: 100% remote B2B role focused on designing and implementing GenAI solutions using Google Vertex AI, integrated with a Drupal-based high-traffic platform. The position centers on building RAG, AI Search, and agent-based architectures, along with scalable data pipelines and Python backend services. It is a long-term, production-oriented project emphasizing architectural quality, reliability, and observability. 🗂️ Requirements: Strong Python experience in AI projects (RAG, Agentic AI, or Search AI), Senior-level experience with Google Vertex AI (Vertex AI Search, Vertex RAG) or equivalent LLM platforms, Commercial experience with PHP, Experience with Drupal architecture and custom module development, Experience designing and maintaining data pipelines, Experience with API-based integrations, Hands-on experience with AI agent architectures and multi-agent orchestration, Experience with observability and monitoring for AI systems, Working knowledge of Kubernetes, Ability to design production-grade, scalable AI systems 📃 Skills: Python, VertexAI, RAG, LLM, Drupal, PHP, Kubernetes, REST, LangFuse, ADK, A2A, Git, CICD, HTML5, CSS3, JavaScript 🏢 Description: Salary: 1000 - 1400 PLN/day net+vat on B2B Work model: 100% remote Why choose this offer? Work on a high-traffic content and marketing platform used by millions of users Real impact on user-facing campaigns, landing pages, and editorial content Modern development environment with scalable architecture Project The project focuses on designing, implementing, and maintaining advanced GenAI solutions built around Google Vertex AI, with a strong emphasis on Vertex AI Search and Vertex RAG. The core goal is to integrate these capabilities into an existing Drupal-based platform, enabling intelligent search, retrieval-augmented generation, and AI-driven workflows powered by structured and unstructured data. The role is heavily centered on Vertex AI architecture, integrations, and data pipelines, with Drupal acting primarily as a consumer of AI-driven data and services. The project also includes building and orchestrating AI agents, implementing observability for AI systems, and developing robust backend services in Python. The overall setup is production-oriented, long-term, and focused on scalability, reliability, and architectural quality. Expected competences and knowledge Strong Python & AI experience (top priority): We are looking for someone with very solid Python skills and proven project-based experience in one or more of the following areas: RAG (Retrieval-Augmented Generation), Agentic AI, or Search AI. Google Vertex AI: Senior-level experience with Vertex AI, particularly Vertex AI Search and Vertex RAG, is highly preferred — or equivalent hands-on experience with other LLM/AI platforms. PHP (commercial experience): Commercial knowledge of PHP is required; it does not need to be current — experience from several years ago is acceptable. Kubernetes: Working-level familiarity sufficient to navigate and support a Kubernetes-based infrastructure (not an expert/DevOps role, but the ability to operate confidently within the environment). Proven track record in designing and maintaining data pipelines and API-based integrations Hands-on experience with AI agent architectures, including ADK (Google), A2A protocol, and multi-agent orchestration patterns Experience with observability and monitoring for AI systems, including tools such as LangFuse Solid experience with Drupal, including architecture understanding, custom module development, and ongoing maintenance Ability to work independently on complex architectures and make high-impact technical decisions Strong understanding of production-grade system design and AI integration best practices Responsibilities Design, implement, and evolve solutions based on Vertex AI Search and Vertex RAG Build and maintain API integrations between Vertex AI services and Drupal Develop and operate data pipelines feeding search and RAG systems Create and maintain Python-based backend services and internal tooling Maintain and extend existing Drupal architecture , focusing on integrations and stability Implement and orchestrate AI agents , including multi-agent collaboration patterns Ensure observability, monitoring, and reliability of GenAI components using tools like LangFuse Contribute to architectural decisions and guide best practices for AI-driven systems Technologies you'll work with Drupal PHP Python HTML5, CSS3, JavaScript REST APIs Kubernetes Git CI/CD tools and modern development workflows Client – why choose this particular client from the Jit portfolio? Our Client dominates the Polish e-commerce arena as the market leader since 1999 . With a user base of over 20 million and growing, this well-established platform is at the forefront of e-commerce, constantly striving for growth through market expansion and investment. As a major player in technology, our Client boasts a talented IT team of over 1,000 employees who focus on developing their own cutting-edge technologies. Jit Team has had a successful partnership with our Client since spring 2021 , with multiple software development teams dedicated to our Client's platforms. These teams operate autonomously, designing platform components through micro-services. Working with our Client offers a chance to contribute to a solution used by millions on a daily basis and to tackle the challenge of delivering software at a massive scale , where even a single second of delay can have a significant impact. This project provides a unique opportunity to work with state-of-the-art technologies and tools, making it a rare and valuable experience. About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.

🏢 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.

🏢 Summary: This role involves working on the most critical product or technical challenges, contributing directly to the development of truth-seeking AI systems. The position is hands-on and impact-driven, with clear project ownership defined before the offer stage. It offers a highly competitive compensation package including equity and comprehensive benefits. 🗂️ Requirements: Strong belief in truth-seeking AI as a critical problem, Exceptional software engineering skills, Ability to thrive in meritocratic environments, High work ethic and strong prioritization skills, Strong communication skills, Ability to contribute hands-on to critical technical challenges 📃 Skills: Software, Engineering, AI 🏢 Description: ABOUT THE ROLE: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.