April 24, 2026
Gen AI Adoption Lead (Engineering Productivity)
Senior • Remote
6,000 - 7,200 USD
Krakow, Poland
N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.
We’re on a mission to help N-iX engineering teams unlock the power of GenAI in their daily work. To do that, we’re building a team of GenAI Adoption Leaders.
This isn’t a role for someone who already “knows it all.” GenAI adoption is still new, and part of your job will be to experiment, learn, and share discoveries. If you’ve already explored tools like Copilot, Claude, Cursor, or played with prompt engineering, you’ll feel right at home.
We value curiosity and potential as much as experience. If you’re an engineer with the spark to try, fail fast, and learn – and you want to help others do the same – this is a rare opportunity to grow alongside a pioneering team.
Responsibilities:
Experiment & embed AI into workflows: Test AI in real coding, then show teams what works.
Own a specialization, work as a team: Each adoption leader brings expertise (e.g., QA, backend, DevOps, data, PM/BA), but we cross-collaborate to cover the full SDLC.
Hands-on enablement: Lead workshops, live demos, and pairing sessions where engineers learn by doing.
Prototype & adapt: Build lightweight tools, prompts, and playbooks that evolve as we learn.
Consult across accounts: Every client has its own restrictions and resistance. You’ll help find the right adoption path for each.
Measure what matters: Track adoption impact – not just with metrics like DORA/SPACE, but also in human terms: faster feedback loops, fewer repetitive tasks, happier engineers.
Contribute to a shared journey: Turn lessons into reusable playbooks and success stories that scale across hundreds of teams.
Requirements:
Engineering foundation: Solid background in one area or more areas (Backend: Java or .NET, Frontend, Architecture).
Curiosity & experimentation: You’ve already tried GenAI tools – or at least shown initiative in exploring how they could help in your work.
Early adopter mindset: Comfortable experimenting and learning in areas where the answers aren’t fully known yet.
Change leadership: Experience introducing new tools or processes into teams.
Adaptability: Ability to tailor approaches to different client rules, compliance needs, and maturity levels.
Bonus: Strong communication skills for winning over skeptics and making adoption feel safe and practical.
What success looks like
Teams experiment with 2–3 new AI-powered practices within the first 3 months.
Clear improvements in delivery speed, quality, and developer experience.
Engineers feel empowered (not replaced) and start driving adoption ideas themselves.
You and your peers shape a growing library of GenAI playbooks for the entire company.
Why join us?
Be part of a 6–7 person pioneer team building the playbook for GenAI adoption across client accounts.
Specialize, but grow broadly: You’ll own your focus area while collaborating across functions (QA, DevOps, backend, etc.).
Gain rare, career-defining experience leading GenAI adoption at scale in an outsourcing context – skills that will define engineering leadership in the next decade.
Grow your own skills while helping 1,700 engineers upskill too – it’s a team journey, not a solo mission.
We’re not looking for finished experts. We’re looking for explorers, builders, and early adopters who want to shape the future of engineering with GenAI. If that sounds like you – apply now and let’s build it together.
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Krakow, Poland
6,200 - 7,700 USD
🏢 Summary: Lead FullStack Engineer role focused on building and scaling high-traffic, public-facing web platforms for a major European online marketplace. The position involves full SDLC ownership, AI-assisted development, and delivering highly available, performance-optimized solutions using modern cloud and frontend technologies. Work includes backend and frontend development, cloud infrastructure, CI/CD, and integration of AI frameworks into the development workflow. 🗂️ Requirements: 5+ years of experience building reliable, scalable software systems, Strong knowledge of software architecture and design patterns, Proficiency in C# and TypeScript, Strong experience with SQL and NoSQL databases, Strong frontend development experience (HTML, CSS, JavaScript), Experience with React, Next.js, Vue.js or Angular, Experience with AI tools (ChatGPT, Codex) in development workflows, Experience with AI frameworks (Vercel AI SDK, LangChain), Experience with AWS, Terraform, Docker, Experience building and consuming APIs in service-based architectures, Experience with CI/CD pipelines, Experience with logging and monitoring tools (Datadog, NewRelic), Strong unit testing skills (backend and frontend), Experience with Git, Upper-intermediate English, Availability to work in required time zone (ET or 13:00–21:00 EET) 📃 Skills: C#, TypeScript, SQL, NoSQL, GraphQL, Redis, HTML, CSS, JavaScript, React, Next.js, Vue.js, Angular, ChatGPT, Codex, LangChain, Vercel, AWS, Terraform, Docker, Git, CI/CD, Datadog, NewRelic 🏢 Description: Аbout us: N-iX i s a software development service company that helps businesses across the globe develop successful software products. Founded in 2002 in Lviv, N-iX has come a long way and increased its presence in eight countries Poland, Ukraine, Sweden, Bulgaria, Malta, the UK, the US, and Colombia. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. About the client: Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers. Responsibilities: Developing fast, high-traffic public-facing websites Explore new technologies and help the team to use them Work using AI tools and apply them to the SDLC Following software development best practices while delivering the work Following testing principles while testing your own code to ensure production readiness Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) Requirements: 5+ years developing reliable, highly available, and scalable software systems Strong understanding of software architecture and design patterns Firm grasp of clean code principles and coding standards Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development Experience integrating AI tooling into your development environment for streamlined usage Experience with AI Frameworks like Vercel AI SDK, LangChain, etc. Strong proficiency with the following technologies: C#+Typescript Strong proficiency with SQL & NoSQL datastores (GraphQL, Redis) Strong proficiency with frontend development (HTML, CSS, JavaScript) Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js. Hands-on experience developing and maintaining 3rd party content management systems Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker Experience with APIs and developing in a service-based application environment Experience building optimized UIs for performance Proficiency with version control systems such as Git Experience working within a formal CI/CD pipeline Experience with logging, monitoring, and alerting services like Datadog, Newrelic Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend At least Upper-intermediate English level This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers
Technology
N-iX
Inference Platform Engineer (LLM & Kubernetes)
Senior
Remote
Krakow, Poland
6,000 - 8,200 USD
🏢 Summary: The role involves owning and operating LLM inference platforms in production, focusing on API integration, orchestration, and reliability within Kubernetes-based environments. You will ensure high availability, performance, and security of inference services while managing deployments and monitoring across cloud or hybrid infrastructure. The position includes hands-on work with multi-turn conversational AI systems and production-grade observability and DevOps practices. 🗂️ Requirements: 5+ years of Python programming experience, Strong Kubernetes experience including deployment, scaling, and monitoring, Experience with production logs, monitoring, and observability systems, Understanding of LLM fundamentals and model behavior, Experience integrating and working with LLM Inference APIs (e.g., OpenAI, Anthropic), Ability to independently own and operate inference services, Solid Linux fundamentals, Experience with CI/CD workflows and Git, Knowledge of platform security and CVE monitoring 📃 Skills: Python, Kubernetes, LLM, OpenAI, Anthropic, API, Linux, Helm, ArgoCD, Git, CI/CD, Monitoring, Observability, Logs, Cloud, Rust 🏢 Description: N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact. We are looking for an Inference Platform Engineer (LLM & Kubernetes) to join our team. Our client is a leading European AI company developing large language models and generative platforms for enterprise and government clients. Their products combine high-performance technologies, transparency, accessibility, and data security, fully aligned with European regulatory and ethical standards. As an Inference Platform Engineer (LLM & Kubernetes) , you will take ownership of inference API integration, operations, and platform reliability across production AI systems. This role is designed to be covered by 1–2 FTE split across several senior specialists , ensuring continuity of inference services and full coverage during planned and unplanned absences as we take over end-to-end LLM inference responsibility. Responsibilities: Take ownership of inference API integration, orchestration, and long-term platform reliability Lead operations for LLM inference services as they transition under internal ownership Ensure inference API availability, latency, and performance in production environments Design and maintain multi-turn conversation handling, chat templates, and prompt orchestration Proactively monitor, troubleshoot, and resolve inference platform issues, logs, and errors Manage Kubernetes deployments, Helm charts, and ArgoCD workflows for inference services Ensure platform security, CVE monitoring, and compliance with internal and regulatory standards Collaborate closely with backend, platform, and infrastructure teams Maintain clear operational documentation to support shared ownership across multiple FTEs Participate in support / on-call rotation as required to ensure operational continuity Requirements: 5+ years of Python programming experience Strong Kubernetes (k8s) experience, including deployment, scaling, and monitoring Experience handling large-scale logs, monitoring, and observability in production Basic knowledge of LLM fundamentals and the surrounding industry (e.g., what type of models exist, how does an LLM generate output) Experience from the user side developing against an Inference API (e.g., OpenAI, Anthropic, OpenRouter etc.) and understanding of their structure (experience with providing or deploying a similar API yourself a strong plus) Ability to independently own and operate inference services in a shared-responsibility model (1–2 FTE split across multiple specialists) Strong communication skills and experience working with cross-functional engineering teams Solid Linux fundamentals Nice to have: Hands-on experience with Helm charts, ArgoCD, and CI/CD for AI services Interest in partly working with Rust Senior-level experience with production LLM inference or AI platform operations Experience building or operating multi-turn conversational AI systems Familiarity with real-time API orchestration or streaming inference workloads Background in MLOps, AI platform engineering, or SRE Experience with cloud-based inference deployments and scaling Knowledge of security, CVE scanning, and operational best practices Technology Stack: Inference: OpenAI, Anthropic, or other LLM inference APIs Focus Areas: API integration, multi-turn conversation orchestration, tool calling, platform reliability Infrastructure: Kubernetes, Helm, ArgoCD, cloud or hybrid environments Monitoring: Logs, metrics, observability tools for inference systems Workflow: Git, CI/CD pipelines, documentation, operational runbooks, incident handling Standards: Reliability, latency, performance, security, maintainability