AI Engineer 1 - Platform Integration & AI/Data

🏢 Summary: Platform Engineer role focused on building and maintaining backend systems, CI/CD pipelines, data integrations, and platform infrastructure for a large-scale nuclear software platform. The position involves working with AI/data teams to support reliable, scalable services and AI-ready data architecture in a production environment. 🗂️ Requirements: 5+ years building and running production backend or platform systems, Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field, or equivalent experience, Strong coding skills in at least one backend language, Experience building and owning CI/CD pipelines, Experience integrating systems using REST APIs, event streams, or data pipelines, Experience with at least one major cloud platform, Experience with configuration management and infrastructure as code, Working knowledge of data modeling and system data flows, Strong written and verbal communication skills 📃 Skills: Python, Go, Java, TypeScript, CI/CD, REST, AWS, APIs, Databricks, Snowflake, React, SCADA, MCP 🏢 Description: About the role The Nuclear Company is hiring a Platform Engineer to build and run the backend, data, and integration layers that NOS depends on. You will report to the Director of Platform Integrations and work in the Platform Integration & AI/Data squad. NOS is the software platform behind one of the largest nuclear buildouts in the United States, and the platform layer is what keeps it fast, reliable, and connected to the systems around it. This is a hands-on engineering role. You will own CI/CD, build and maintain the data and application integrations that tie NOS to internal systems and external sources, and keep the unified front-end interface and platform services performing under load. You will also help shape the data ontology and MCP design that let AI agents work against NOS data safely. You will work daily with data scientists, AI/ML engineers, product engineers, and nuclear domain experts. You write production code, review pull requests, debug across the stack, and hold the line on configuration management and platform maintenance as new capabilities ship. Responsibilities • Own platform and integration engineering. Build and maintain the application and data integrations that connect NOS to internal systems, partner APIs, and external data sources, and keep them reliable as the platform grows. • Own CI/CD and release tooling. Build and run the pipelines that make NOS releases repeatable, tested, and traceable, and keep build and deployment times short. • Build and maintain the unified front-end interface. Deliver the shared interface layer that product teams build on, and keep it consistent, accessible, and fast. • Keep the platform performant and maintained. Monitor platform performance, fix bottlenecks, manage configuration baselines, and handle the maintenance that keeps NOS stable. • Support data ontology and MCP design. Help structure NOS data and design the Model Context Protocol interfaces that let AI agents read and act on platform data safely. • Partner across the squad. Work with data scientists, AI/ML engineers, and product engineers so the platform layer and the products built on it move together. Required Experience • 5+ years building and running production backend or platform systems. • Bachelor's or Master's in Computer Science, Software Engineering, or a related technical field, or equivalent production experience. • Strong coding skills in at least one backend language (Python, Go, Java, TypeScript, or similar) and solid software engineering fundamentals. • Hands-on experience building and owning CI/CD pipelines and integrations between systems (REST APIs, event streams, data pipelines). • Experience with at least one major cloud (AWS preferred) and with configuration management and infrastructure as code. • Working knowledge of data modeling and how data flows between systems. • Good written and verbal communication, able to work with engineers and non-engineers. Preferred Experience • Experience with Palantir Foundry, Databricks, or Snowflake. • Familiarity with Model Context Protocol (MCP) or other patterns for connecting AI agents to data and tools. • Experience in a regulated or safety-critical industry (nuclear, aerospace, defense, energy, medical). • Front-end experience with a modern framework such as React. • Experience with OT/IT integration, SCADA interfaces, or industrial data. Benefits • Competitive compensation packages • 401k with company match • Medical, dental, vision plans • Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $121,000 - $165,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants. Recruiting Fraud Alert Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.

🏢 Summary: AI Engineer role focused on building and deploying ML models, LLM workflows, and AI agents inside a nuclear industry software platform. The position involves production-grade AI engineering, model evaluation, data pipeline development, and collaboration with engineering and domain experts on operational and safety-critical systems. Candidates will work with modern ML tooling, cloud platforms, and agent frameworks to support large-scale nuclear infrastructure projects. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or related technical field, 5+ years of professional experience shipping ML or AI features into production, Strong Python experience, Hands-on experience with modern ML and LLM tooling, Production experience with LLMs and AI agents, Experience with prompting, fine-tuning, RAG, evals, and tool use, Data engineering and data pipeline development experience, Experience working with large datasets, Experience with at least one major cloud platform, Strong written and verbal communication skills 📃 Skills: Python, PyTorch, HuggingFace, LLM, RAG, AWS, MLflow, SageMaker, VertexAI, MCP, Foundry, AIP, CI/CD 🏢 Description: About the role The Nuclear Company is hiring an AI Engineer to ship the machine learning and agent capabilities inside NOS, the software platform behind one of the largest nuclear buildouts in the United States. You'll work in the Platform Integration & AI/Data squad and report to the Director of Platform Integrations. This is a hands-on engineering role. You'll embed ML models and LLM-driven workflows directly into the NOS applications our internal teams and partners use every day: site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools that run across active TNC projects. You'll work close to the metal: training and fine-tuning models, designing agent workflows against NOS data and tools, wiring up MCP interfaces, and standing up the evals and monitoring that keep AI features safe in production. You'll partner daily with platform engineers, product engineers, and the nuclear domain experts who use what you ship. The team is small, the pace is fast, and the work is visible, what you build will be demoed to utilities, regulators, and financial partners making 20-to-30-year decisions about the future of American nuclear power. Responsibilities - Ship ML and AI features inside NOS. Train, fine-tune, and deploy models and LLM-based workflows into production, with the evals, monitoring, and safety controls that make them trustworthy. - Build AI agents and agent workflows. Design agents that operate against NOS data and tools, including the MCP interfaces and tool-use frameworks they depend on. - Own model quality end-to-end. Define eval criteria, acceptance thresholds, and regression suites for AI features. Keep results reproducible and the bar high. - Partner across the squad. Work directly with platform engineers and product engineers so models reach production instead of staying in notebooks. - Contribute to the data ontology. Help shape how NOS data is structured so models and agents can use it reliably. - Build predictive and anomaly-detection models that support operations and engineering decisions, including time-series analysis of sensor and operational data from active projects. Required Experience - Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent production experience. - 5+ years of professional experience shipping ML or AI features into production. - Strong Python and hands-on experience with modern ML and LLM tooling (PyTorch, Hugging Face, or similar). - Production experience with LLMs and agents: prompting, fine-tuning, RAG, evals, tool use. - Solid data engineering fundamentals, comfortable building data pipelines and working with large, messy datasets. - Experience with at least one major cloud, AWS preferred. - Strong written and verbal communication. Preferred Experience - Experience with Palantir Foundry and AIP. - Experience building agent systems with MCP or similar tool-use frameworks. - MLOps experience (MLflow, SageMaker, Vertex AI) and CI/CD for models. - Experience in a regulated or safety-critical industry: nuclear, aerospace, defense, energy, or medical. - Background in time-series, sensor, or operational data. - Comfortable doing exploratory data analysis and translating findings into product decisions, in addition to shipping production models. Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $121,000 - $165,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

🏢 Summary: The role focuses on securing modern applications, APIs, cloud workloads, and developer workflows within a nuclear energy environment. You will embed security into the SDLC, perform threat modeling and code reviews, harden CI/CD pipelines, and collaborate across engineering teams to manage vulnerabilities and protect sensitive data. This position combines hands-on application security, DevSecOps, and cloud security responsibilities in a regulated, mission-critical context. 🗂️ Requirements: 4+ years experience in application, product, or software security, Hands-on experience securing web applications, APIs, distributed systems, or cloud-native services, Strong knowledge of application security risks (authentication, authorization, injection, SSRF, insecure deserialization, secrets exposure, API security), Experience with secure SDLC tools (SAST, SCA, secret scanning, CI/CD security), Ability to read code in at least one language: Python, TypeScript, Go, Java, C#, or C++, Familiarity with AWS security concepts (IAM, encryption, logging, networking, secrets management, infrastructure-as-code), Experience performing threat modeling and security reviews, Understanding of offensive security principles 📃 Skills: Python, TypeScript, Go, Java, C#, C++, AWS, IAM, CodeQL, Dependabot, SAST, SCA, CI/CD, GitHub, OWASP, NIST, SOC2, IEC62443, NERCCIP 🏢 Description: About the role The Nuclear Company is searching for an Application Security Engineer to help secure the software, data systems, and developer workflows that power our Nuclear Operating System, internal platforms, and mission-critical applications. This is a high-ownership role for a builder who is equally comfortable reviewing application architecture, threat modeling APIs, improving GitHub security controls, and partnering directly with engineers to ship secure software quickly. You will work across product engineering, platform engineering, data science, infrastructure, and operations to embed security into the way we design, build, test, and deploy software. You will help define secure development standards, review high-impact product designs, harden CI/CD workflows, and guide teams through vulnerability remediation in a practical, risk-based way. This role reports to the Senior Manager for Application and Product Security. Responsibilities Application & Product Security - Perform security reviews and threat models for NOS modules, internal tools, APIs, data workflows, AI-enabled features, and cloud-connected applications. - Identify and remediate risks across authentication, authorization, tenant isolation, input validation, secrets handling, encryption, logging, and data access. - Review application designs and code changes for security issues before production. - Define reusable security patterns for web applications, APIs, mobile workflows, internal platforms, and data-heavy systems. - Establish secure-by-default approaches for applications supporting regulated, high-consequence infrastructure. Secure SDLC & Developer Enablement - Build and improve DevSecOps practices across the GitHub-based SDLC, including code scanning, dependency review, secret scanning, branch protections, CI/CD hardening, and secure workflows. - Create secure templates, checklists, automation, documentation, and lightweight review processes. - Triage and prioritize findings from SAST, SCA, secret scanning, penetration tests, code reviews, and internal assessments. - Develop vulnerability management workflows, remediation guidance, and engineering metrics. - Support secure coding education through design reviews, documentation, and developer partnership. Platform, Cloud & Data Security - Secure AWS workloads, infrastructure-as-code, service integrations, data pipelines, and deployment workflows. - Review integrations involving Palantir Foundry, partner APIs, internal data platforms, and AI-assisted engineering workflows. - Secure sensitive data flows across application, platform, and operational environments. - Ensure application events, audit logs, and security signals support investigation and response. - Navigate cybersecurity expectations within a regulated nuclear energy environment. Cross-Functional Partnership - Partner with software engineers, product managers, data engineers, infrastructure teams, and stakeholders. - Communicate risk clearly while balancing security and delivery speed. - Contribute to the application and product security roadmap as systems scale. - Help build a culture of ownership, velocity, and technical rigor. Experience - 4+ years in application security, product security, software security, or software engineering with strong security focus. - Experience securing modern software systems including web applications, APIs, distributed systems, or cloud-native services. - Strong understanding of authentication, authorization, access control, injection, insecure deserialization, SSRF, secrets exposure, dependency risk, and API security. - Experience with GitHub Advanced Security, CodeQL, Dependabot, SAST, SCA, secret scanning, and CI/CD security. - Ability to read at least one modern programming language (Python, TypeScript, Go, Java, C#, or C++). - Familiarity with AWS security concepts including IAM, logging, encryption, networking, secrets management, and infrastructure-as-code. - Strong communication skills and offensive security mindset. Preferred Qualifications - Experience securing software in regulated or mission-critical environments. - Familiarity with AI-assisted development tools, LLM-enabled applications, prompt injection risks, and AI supply chain concerns. - Experience with vulnerability management, penetration testing, DAST tools, or incident response. - Familiarity with OWASP ASVS, OWASP Top 10, OWASP API Security Top 10, NIST CSF, NIST 800-53, SOC 2, IEC 62443, or NERC CIP. - Security certifications such as AWS Certified Security – Specialty or OSWE. - Interest in nuclear energy and critical infrastructure. Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $150,000 - $173,000 annually, less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications, and other relevant factors. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an inclusive workplace. Equal employment opportunities are provided without regard to protected characteristics. Discrimination in any aspect of employment is prohibited. Export Control Certain positions may involve access to information and technology subject to U.S. export controls. Compliance requirements may limit consideration of some applicants.

🏢 Summary: Senior Software Quality Engineer role focused on building automated testing, verification and validation, and compliance processes for a nuclear software platform in a regulated environment. The position involves developing test frameworks, integrating QA into CI/CD pipelines, supporting audits, and ensuring software quality and traceability standards. Candidates should have strong programming and test automation experience with modern QA tools and regulated systems. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field, 5+ years of experience in software quality engineering, software testing, SDET, or V&V roles, Strong programming skills in Python, Java, C#, JavaScript, or TypeScript, Experience developing and maintaining automated test frameworks, Experience with Playwright, Cypress, Selenium, TestNG, PyTest, or similar testing tools, Experience testing APIs, databases, and distributed systems, Experience integrating automated testing into CI/CD pipelines, Experience with Git, Jira, Azure DevOps, or similar engineering tools, Ability to review and understand production software code, Strong documentation and audit-ready reporting skills, Experience supporting quality or regulatory audits 📃 Skills: Python, Java, C#, JavaScript, TypeScript, Playwright, Cypress, Selenium, TestNG, PyTest, API, SQL, Git, Jira, Azure, CI/CD, QMS, IEEE, IEC 🏢 Description: About the role The Nuclear Company is seeking a Senior Software Quality Engineer to help ensure the quality, reliability, traceability, and compliance of Nuclear Operating System (NOS), the software platform supporting one of the largest nuclear construction programs in the United States. This role combines software engineering, test automation, verification and validation (V&V), and quality assurance in a highly regulated environment. You will work closely with software engineers, product teams, and compliance leaders to build automated testing capabilities, verify software requirements, support audit readiness, and ensure digital systems meet the standards required for nuclear deployment. The ideal candidate is a strong engineer who enjoys building automation, improving quality processes, and working within rigorous compliance frameworks. Responsibilities Test Automation & Quality Engineering - Design, develop, and maintain automated test frameworks for web, API, data, and backend services. - Build and execute automated unit, integration, regression, and end-to-end test suites. - Integrate testing into CI/CD pipelines and release processes. - Develop performance, load, and reliability testing capabilities. - Establish quality metrics and reporting dashboards. Verification & Validation - Execute software verification and validation activities. - Validate software against documented requirements and acceptance criteria. - Ensure requirements are traceable through design, implementation, testing, and release. - Support release readiness reviews and quality gates. Quality Assurance & Compliance - Perform quality reviews and audits of software systems and development processes. - Support compliance with ASME NQA-1 and other applicable quality standards. - Verify configuration management, change control, and records management practices. - Prepare audit-ready documentation and objective evidence packages. Defect Management & Root Cause Analysis - Lead defect triage, investigation, verification, and closure activities. - Analyze quality trends and identify opportunities for process improvement. - Support root cause investigations and corrective action programs. - Reduce defect escape rates through improved automation and quality controls. Collaboration & Continuous Improvement - Partner with software engineers to improve testability and code quality. - Participate in design reviews and code reviews. - Help establish software quality best practices across engineering teams. - Support internal audits, external audits, and regulatory inspections. Required Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. - 5+ years of experience in software quality engineering, software testing, SDET, or software verification and validation roles. - Strong programming skills in Python, Java, C#, JavaScript/TypeScript, or similar languages. - Experience developing and maintaining automated test frameworks. - Experience with modern testing tools such as Playwright, Cypress, Selenium, TestNG, PyTest, or equivalent. - Experience testing APIs, databases, and distributed systems. - Experience integrating automated testing into CI/CD pipelines. - Experience with Git, Jira, Azure DevOps, or similar engineering tools. - Ability to read, understand, and review production software code. - Strong written communication and documentation skills, the ability to produce audit-ready documentation. - Experience preparing for and supporting quality or regulatory audits. Preferred Experience - Experience working in regulated industries such as nuclear, aerospace, defense, medical devices, energy, or industrial systems. - Familiarity with ASME NQA-1 quality requirements. - Experience in nuclear or a U.S. Department of Energy environment. - Familiarity with safety-critical software standards such as IEEE 1012, IEC 61508, or IEC 60880. - Familiarity with cybersecurity, performance, or reliability testing. - Experience supporting quality audits, regulatory inspections, or compliance programs. - Experience with requirements management and traceability systems. - Experience testing AI/ML-enabled software systems. - Understanding of ITAAC, nuclear construction quality programs, or NRC-regulated environments. - Experience with quality management systems (QMS) and records control platforms. Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy, plus holidays Estimated Starting Salary Range - $121,000 - $165,000 annually EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

🏢 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 AI-first Engineer role focused on building and modernizing full-stack systems using advanced AI-assisted development workflows. The position involves designing scalable architectures, delivering production-grade .NET and React solutions, and orchestrating multiple AI agents for parallel task execution. Work spans distributed systems, cloud environments, and high-quality engineering practices in client-facing projects. 🗂️ Requirements: Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Ability to build custom AI skills and orchestrate multiple AI agents in parallel, Strong prompt engineering with critical evaluation of AI-generated output, Production experience with .NET and C# for REST APIs and middleware, Deep knowledge of OAuth2, OpenIDConnect, and JWT, Strong proficiency in JavaScript and TypeScript, Minimum 2 years production experience with React, Experience with state management, asynchronous patterns, and frontend testing, Experience designing monolith, microservices, and distributed architectures, Knowledge of DDD, CQRS, EventSourcing, and event-driven systems, Experience with message brokers (Kafka, RabbitMQ, AzureServiceBus or similar), Hands-on experience with Docker and knowledge of Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP), Strong knowledge of SQL and ORM tools 📃 Skills: C#, .NET, REST, OAuth2, OpenIDConnect, JWT, JavaScript, TypeScript, React, DDD, CQRS, EventSourcing, Kafka, RabbitMQ, AzureServiceBus, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, SQL, NoSQL, Python, Java, Node.js, Copilot, Claude, Cursor 🏢 Description: We are looking for a Senior AI-first Engineer who combines deep technical expertise with a genuine, hands-on approach to AI-assisted development. You will work across varied client engagements — from modernizing legacy systems to architecting new products — and are expected to contribute at a high level regardless of project context. The ideal candidate has built a real, personalized AI development workflow — including custom skills, reusable prompt templates, and project-level instructions — and continues to refine it. Out-of-the-box tool usage is not sufficient for this role. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Design, develop, and maintain full-stack features with high standards of quality, performance, and reliability Apply AI tools throughout the workflow: generation, refactoring, review, testing, and research Contribute to architectural decisions — technology selection, system design, and trade-off analysis Conduct thorough code reviews and uphold engineering best practices across the team Identify risks, bottlenecks, and security concerns proactively and propose solutions Work directly with clients in English — requirements clarification, technical discussions, progress updates Mentor junior and mid-level engineers through day-to-day guidance and knowledge sharing Stay current with AI tooling developments and contribute findings to the broader team Requirements Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Ability to create custom skills and sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Strong prompt engineering skills; able to produce reliable, high-quality output and critically evaluate AI-generated results Production-grade .NET / C# (REST APIs, middleware, dependency injection) with solid understanding of OAuth 2.0, OpenID Connect, and JWT Deep proficiency in JavaScript and TypeScript 2+ years of hands-on production experience with React (highly preferable) and/or Angular Strong grasp of state management, asynchronous patterns, and frontend testing Confident designing systems across monoliths, microservices, and distributed architectures Working knowledge of DDD, CQRS, Event Sourcing, and event-driven systems, including message brokers (Kafka, RabbitMQ, Azure Service Bus, or similar) Hands-on use of Docker and working knowledge of Kubernetes, along with CI/CD pipelines (GitHub Actions, Azure DevOps, or similar) Experience with cloud platforms (Azure, AWS, or GCP) and observability practices (structured logging, distributed tracing, alerting) Solid background with SQL databases and ORMs; familiarity with NoSQL is a plus Additional exposure to Python, Java, or Node.js is highly desirable Clear communication skills in English (B2+), both written and spoken; comfortable in client-facing environments Salary ranges B2B 135 - 195 PLN/ hour EC 17000 - 24000 PLN/ month

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions in production environments using Azure cloud technologies. The position involves AI model evaluation, prompt engineering, cloud architecture, and scalable microservices development while collaborating with technical and business stakeholders. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C# ecosystem, Hands-on experience integrating AI technologies in commercial projects, Strong understanding of AI/ML concepts, model training, and data preprocessing, Expertise in prompt engineering, RAG architectures, and vector databases, Experience selecting, fine-tuning, and implementing AI models and frameworks, Experience with Microsoft Azure AI and cloud services, Knowledge of SOLID principles, design patterns, and microservices architecture, Experience with CI/CD pipelines and SQL/NoSQL databases, Ability to explain AI concepts to technical and non-technical stakeholders, Strong analytical and debugging skills, Experience working in agile environments and mentoring engineers 📃 Skills: C#, .NET, ASP.NET, Microservices, AI, ML, LLM, NLP, Azure, AzureOpenAI, AzureML, AzureFunctions, CosmosDB, AKS, RAG, SQL, NoSQL, CI/CD, PromptEngineering 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators beyond basic API/tool usage to solve complex business problems - Apply a strong understanding of AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering techniques to maximize output accuracy and relevance - Proactively identify high-value opportunities within current workflows and products to apply AI for process automation, advanced analytics, or next-generation product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure technologies including Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS to deploy and scale AI workloads - Explain complex AI concepts, workflows, architectural designs, and trade-offs clearly to both technical developers and non-technical business stakeholders - Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical considerations during model deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience) - 5+ years of professional software development experience with emphasis on the .NET/C# ecosystem - Demonstrated hands-on experience integrating and leveraging AI technologies such as LLMs, NLP, Computer Vision, or recommendation engines in commercial projects - Strong understanding of AI/ML concepts including model training, data preprocessing, and optimization - Expertise in advanced prompt engineering, RAG architectures, and vector databases - Ability to analyze, fine-tune, select, and implement AI models and frameworks based on performance, cost, and latency constraints - Proven experience applying AI for process automation, analytics, or product enhancement - Familiarity with AI limitations and best practices in adoption and deployment - Proven experience working with Microsoft Azure technologies, specifically deploying AI workloads through Azure OpenAI, Azure ML pipelines, and standard cloud services - Solid understanding of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and database management (SQL and NoSQL) - Strong capacity to explain AI concepts, workflows, and system designs to diverse audiences - Strong analytical and debugging skills with a proactive mindset - Comfortable working in an agile environment, mentoring junior engineers, and collaborating with Product Owners We offer - Engineering community of industry professionals - Friendly team and enjoyable working environment - Flexible schedule and remote work opportunity within Poland - Opportunity to work abroad for up to 60 days annually - Business-driven relocation opportunities - Career roadmap and leadership development programs - Certification opportunities for GCP, Azure, and AWS - Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru - English classes - Stable income with Employment Contract or B2B options - Employee Stock Purchase Plan participation - Benefits package including health insurance, multisport, and shopping vouchers - Modern office spaces with entertainment and relaxation zones - Referral bonuses - Corporate, social, and well-being events Please note: The set of bonuses might vary based on the role.

🏢 Summary: Technical role supporting AI and DevOps platforms, focused on ensuring stability, reliability, and performance of critical services across the organization. The position involves incident management, platform resilience, automation, and observability in collaboration with SRE, engineering, and support teams. The engineer contributes to operational excellence, platform enhancements, and continuous improvement of cloud-native environments. 🗂️ Requirements: 6-8 years experience in technical support, platform operations, or engineering, Experience supporting IT services, infrastructure, or platform operations, Hands-on experience with incident management and root cause analysis, Experience with cloud-native platforms and container orchestration, Experience with CI/CD pipelines and DevOps practices, Experience with monitoring and observability tools, Knowledge of databases such as Postgres or MongoDB, Programming or scripting experience in Java, Python, or Go, Understanding of architecture concepts and system design, Experience with resilience testing and disaster recovery activities 📃 Skills: OpenShift, Kubernetes, ECS, CI/CD, Prometheus, Grafana, Splunk, Postgres, MongoDB, Java, Python, Go, AI, DevOps, SRE 🏢 Description: Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries, operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We are seeking a motivated team member to support our AI and DevOps Platform Support team in North America. This role is responsible for assisting in the stability, reliability, and performance of our critical AI and DevOps platforms. The team supports a wide range of services, including multiple AI applications, developer tools, and CI/CD pipeline technologies used across the organization. The ideal candidate will work closely with SRE and Support engineers to resolve incidents, address platform issues, and collaborate with engineering and development teams to enhance platform supportability. The role includes coordinating daily operational activities and contributing to short‑term planning. Responsibilities: Collaborative Application Support: Provides application support by partnering with vendors, offshore managed services, and internal development and engineering teams to ensure platform stability and operational readiness. Service Level Improvement: Actively supports efforts to improve service levels by participating in incident management, problem resolution (RCA), and knowledge-sharing initiatives. Platform Resilience and Testing: Assists in resilience-related activities, including incident simulations, disaster recovery exercises, and platform readiness testing to ensure business continuity. Automation and Efficiency: Supports automation efforts designed to reduce manual tasks, improve operational efficiency, and contribute to cost-saving initiatives. Monitoring and Observability: Helps maintain platform health by supporting observability practices, including monitoring, logging, tracing, and alerting for proactive issue identification. Platform Onboarding and Enhancement: Assists with application onboarding activities and contributes to platform enhancement initiatives in partnership with engineering and support leads. Data Collection for Planning: Helps collect and track capacity, performance, and latency data to support platform planning efforts and prepare materials for business review meetings. Troubleshooting and Incident Response: Maintains a practical understanding of platform components (like OpenShift, ECS, CI/CD) to effectively support troubleshooting and incident response activities. Qualifications: Experience: 6-8 years of relevant experience in technical support, platform operations, or engineering. Core Expertise: Demonstrated experience supporting IT services, platform operations, or infrastructure, with participation in resilience and stability-focused activities. Architectural Acumen: Exposure to architecture concepts with the ability to contribute to technical discussions and understand design decisions. Collaboration and Communication: Strong communication skills and a proven ability to collaborate effectively with business partners, engineering teams, and other cross-functional stakeholders. Cloud-Native & DevOps Tooling (Preferred): Experience with Red Hat OpenShift/Kubernetes, CI/CD tools, and modern observability/monitoring tools (e.g., Prometheus, Grafana, Splunk). Database & Scripting Skills (Preferred): Experience with databases (e.g., Postgres, MongoDB) and scripting or coding abilities in languages like Java, Python, or Go. Organizational Skills: Strong organizational skills with the ability to manage a daily workload and effectively prioritize tasks. Generative AI Knowledge (Preferred): A working knowledge of Generative AI concepts. What we can offer you: By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include: Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program) Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates Employee Assistance Program financed by Employer Paid Parental Leave Program (maternity and paternity leave; statutory and 2 weeks additional paid paternity leave) Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events. Additional day off for volunteering Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform. Opportunity to receive an annual discretionary incentive award Special offers and discounts for employees Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. #LI-KK1 ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: 165 020,00 zł - 280 980,00 zł ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

🏢 Summary: Backend Engineer role focused on building production systems for AI agents, including backend services, APIs, and data pipelines for enterprise customers. The position involves designing reliable distributed systems, maintaining production services, and collaborating closely with cross-functional teams in a fully on-site Warsaw office environment. The company offers a modern AI-focused tech stack, B2B contract, stock options, and opportunities to contribute to open-source projects. 🗂️ Requirements: 3–5 years of experience building backend production systems, Strong Python skills, Understanding of distributed systems, Experience with AWS, GCP, or Azure, Knowledge of SQL and NoSQL databases, Database design experience, Security-focused approach to system design, Ability to manage projects from idea to production, Strong written and spoken communication skills, Experience using AI tools in software development, Ability to work fully on-site in Warsaw 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, AI, TypeScript, APIs, GitHub, Copilot, Codex, Claude 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . About us We believe that businesses are moving toward AI-powered work, and we are building a platform for this future. Many AI agents cannot handle complex business tasks. We created a platform that organizes company policies, workflows, and business knowledge into one AI data model. This helps AI agents make accurate decisions and deliver reliable results at scale. We already work with well-known enterprise customers such as Glovo, Nespresso, and HelloFresh. Our platform supports thousands of users and handles real production data. Customers trust us with important business knowledge because we provide a secure and reliable solution with SOC2, HIPAA-ready security practices, and strong integrations. Job description We are looking for a backend engineer with several years of experience who wants to take responsibility for real systems, not only complete assigned tasks. You will solve backend challenges, choose the best technical solutions, deliver new features, and support them in production. We are looking for someone with good technical skills, clear communication, and a desire to build systems that are simple, reliable, and easy to improve. You will help build production systems for AI agents, working on real problems for customers who already use our platform. The position is based in Warsaw and requires working from the office. Responsibilities Build backend services, APIs, data pipelines, and background processes for production systems. Turn business requirements into technical solutions and implementation plans. Monitor and maintain services after release, improving reliability, performance, and system monitoring. Design service interfaces and data models that fit well into the overall system. Create technical documentation and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers. Improve engineering processes using AI tools, automation, and better workflows. Help maintain high code quality through code reviews and design reviews. Requirements Around 3–5 years of experience building backend production systems. Strong Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failures, data consistency, asynchronous processing, and service communication. Experience with cloud platforms such as AWS, GCP, or Azure, and knowledge of SQL, NoSQL, and database design. A security-focused approach when working with sensitive data and system design. Ability to manage projects from idea to production with increasing responsibility. Good written and spoken communication skills, with the ability to explain technical decisions clearly. Experience using AI tools as part of your daily software development work. Nice to have Experience with AI agents, orchestration, retrieval systems, tool calling, or LLM-based infrastructure. Knowledge of TypeScript or willingness to work across the full technology stack. Experience taking on more responsibility and learning quickly. What we offer B2B contract and company stock options. MacBook Pro. Modern technology stack and the opportunity to contribute to open-source projects. An AI-focused development environment with tools such as Claude Code, OpenAI Codex, and GitHub Copilot. Our values Our leadership team combines strong experience in AI, knowledge management, and enterprise SaaS. We have received more than $60 million in funding and have been recognized by Gartner as a Cool Vendor. Our work is guided by these values: Quality – We care about excellent work and high standards in everything we build. Momentum – We take initiative, share ideas, and keep moving forward. Accountability – We take responsibility for our work and give honest, respectful feedback. Hard work – We believe success comes from teamwork, dedication, and consistent effort. Learning agility – We stay curious, learn from mistakes, and continue improving. Adapt and thrive – We welcome change and see challenges as opportunities to grow. Win together – We work as one team, communicate openly, and support our shared goals.

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.