Staff AI research scientist

🏢 Summary: Data Scientist role focused on developing, deploying, and maintaining machine learning models and AI-driven software solutions for mission-critical environments using an AIOps platform. The position involves building and validating models across diverse data types and implementing scalable AI systems in cloud and edge environments. This is a hybrid role requiring collaboration with cross-functional engineering teams and support for secure, real-world deployments. 🗂️ Requirements: BS in Computer Science, Machine Learning, Mathematics, or related field, 2+ years of experience in data science or machine learning, Proficiency in machine learning applied to image and video data, Strong knowledge of data structures and algorithms, Proficiency in Python, Experience with TensorFlow, PyTorch, or scikit-learn, Experience with Git and Agile methodologies, Active Secret US security clearance, US citizenship 📃 Skills: Python, TensorFlow, PyTorch, scikit-learn, Git, Agile, Docker, Kubernetes, CI/CD, Go, Rust, C++, Java, REST, ETL, Cloud 🏢 Description: Build, Deploy, and Maintain AI for an Unpredictable World Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. The Role As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams. Your day-to-day will include: Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data Implementing AI-based software solutions for cloud and edge environments Conducting mission-critical fieldwork in support of customers and other stakeholders This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time. The Right Fit In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what we’re looking for: BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience Proficiency in machine learning and data science, and applying both to image and video data Proficiency in implementing and analyzing data structures and algorithms Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn Exposure to software development life cycle and tools (e.g., Git, Agile) Active Secret (or above) US security clearance Due to the nature of this role, candidates must have US citizenship The Wish List We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: Advanced degree (e.g., MSA, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline Experience deploying machine learning and data science, and applying both to production environments Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers) Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals) Experience building AI agents and agentic workflows Experience implementing ETL pipelines, data pipelines, and/or workflow automation Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.) Experience building full-stack applications (i.e., back end, front end, REST) Experience delivering technology solutions in secure government environments Experience working with federal, state, and/or local government customers The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The Benefits Medical/dental/vision insurance Voluntary life, long-term disability, accident, and hospital indemnity insurance HSA and FSA (including dependent care FSA) plans 401(k) plan Unlimited PTO Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

🏢 Summary: Lead the end-to-end development and scaling of an AI platform that leverages LLMs, agents, and internal APIs to automate customer sales and service workflows. Drive prompt design, evaluation frameworks, guardrails, and experimentation to improve automation, quality, and customer satisfaction. Collaborate with engineering and OpenAI partners to deploy next-generation voice models and workflow automation. 🗂️ Requirements: 4+ years in management consulting or technical product management at a fast-paced startup, Proven experience with modern LLM systems, Ability to design and discuss API architecture and system design, Experience implementing AI platform standards and best practices, Strong SQL skills for data analysis and hypothesis validation, Experience building and scaling production-grade AI products, Ability to evaluate technical tradeoffs in AI systems 📃 Skills: LLMs, APIs, SQL, OpenAI, Prompting, Automation, Architecture, Experimentation, Voice, Agents 🏢 Description: Why Jerry.ai?We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s.Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market.Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. Lead the AI Revolution for Jerry.ai:At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform.You will sit at the intersection of product, engineering, and applied AI - building and scaling a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact:Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. What We’re Looking For in a Builder:Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows.Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience.Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics.Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Ideal Profile:4+ years of experience in management consulting or technical product management at a fast-paced startup.Proven interest in modern LLM systems.Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards.A track record of taking complex, strategic ideas and turning them into scalable, production-grade products.While we appreciate your interest and application, only applicants under consideration will be contacted.Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.aiThe successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.About Jerry.aiJerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.Compensation Range: $160K - $200K

🏢 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: Lead the end-to-end development of an AI platform leveraging LLMs, agents, and internal APIs to automate customer interactions and sales workflows at scale. The role focuses on designing prompt strategies, evaluation frameworks, and AI guardrails while driving experimentation to improve automation, quality, and customer satisfaction. You will collaborate with engineering and OpenAI partners to deploy advanced voice models and workflow automation in production. 🗂️ Requirements: 4+ years in management consulting or technical product management at a fast-paced startup, Proven experience with modern LLM systems, Experience designing AI-driven products in production environments, Ability to design API strategies and system architectures, Experience creating prompt strategies and evaluation frameworks, Ability to analyze data using SQL, Experience leading AI platform standards and best practices, Track record of delivering scalable, production-grade AI products 📃 Skills: LLMs, APIs, SQL, OpenAI, Prompting, Automation, Agents, Voice, Architecture, Experimentation 🏢 Description: Why Jerry.ai?We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s.Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market.Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. Lead the AI Revolution for Jerry.ai:At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform.You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact:Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. What We’re Looking For in a Builder:Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows.Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience.Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics.Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Ideal Profile:4+ years of experience in management consulting or technical product management at a fast-paced startup.Proven interest in modern LLM systems.Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards.A track record of taking complex, strategic ideas and turning them into scalable, production-grade products.While we appreciate your interest and application, only applicants under consideration will be contacted.Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.aiThe successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.About Jerry.aiJerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.Compensation Range: $160K - $200K

🏢 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: Senior AI Engineer role focused on building agentic conversational systems for recruiting, leveraging large language models and advanced NLP to create intelligent, goal-driven AI assistants. The position involves designing, developing, and deploying scalable ML pipelines and autonomous AI workflows in production. The role combines hands-on ML engineering with technical leadership in a global, cross-functional environment. 🗂️ Requirements: BSc or MSc in Computer Science, Machine Learning, AI, NLP or related field or equivalent experience, 5+ years of experience developing and deploying machine learning systems in production, Proven expertise in NLP techniques, LLM fine-tuning and model evaluation, Strong proficiency with deep learning frameworks, Advanced Python programming skills, Experience designing and maintaining end-to-end ML pipelines from data ingestion to deployment, Fluency in English, written and spoken 📃 Skills: Python, PyTorch, TensorFlow, scikit-learn, HuggingFace, NLP, LLM, MachineLearning, DeepLearning, MLOps, DataPipelines 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in the way that “customers love yet work for the business” (yes, we are heavily influenced by this and that ). Job Description We are looking for a Senior AI Engineer to join our Chat Group, where we’re building the next generation of intelligent conversational systems for the recruiting industry. Our mission is bold yet simple: boost the efficiency of recruiting and hiring teams and deliver the most personalized experience ever - powered by cutting-edge ML, NLP, and agentic AI You’ll play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver intelligent and context-aware recruiting experiences at scale . At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs.You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes. We’re not just building chat systems - we’re building the AI recruiting assistants of the future. What You’ll Do: Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem Qualifications: BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience 5+ years of experience developing and deploying machine learning systems in production Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face) Advanced Python programming skills and solid software engineering fundamentals Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment Hands-on experience with agentic workflows or building autonomous AI systems is a major plus Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred Experience with data quality management, evaluation metrics, or observability in ML systems is a plus Strong analytical thinking, creativity, and an ownership mindset Excellent communication and collaboration skills in a cross-functional, international environment Fluency in English, both written and spoken Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.