{"id":3185214,"url":"https://alion.io/job/xebia-senior-full-stack-developer-ai-native","title":"Senior Full-stack Developer (AI-Native)","company":{"id":1386,"name":"Xebia","domain":"xebia.com","url":"https://alion.io/company/xebia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":71,"open_postings":35,"ghost_share":0.4,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":121,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bulgaria"],"countries":["BG"],"hiring_countries":["BG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":87000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Jest","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"TypeScript","optional":false},{"name":"Vitest","optional":false},{"name":"Cypress","optional":true},{"name":"Embeddings","optional":true},{"name":"JavaScript","optional":true},{"name":"Playwright","optional":true},{"name":"Prisma","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true},{"name":"Turborepo","optional":true},{"name":"TypeORM","optional":true}],"status":"live","first_seen_at":"2026-10-23T20:55:05Z","employer_posted_date":null,"last_verified_at":"2026-10-23T20:55:05Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.\n\nWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.\n\nIn the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.\n\nJoin a small, tight-knit product team building an AI-powered, autonomous accounting platform for the smallest businesses and the accountants who serve them.\n\nYou’ll own features end-to-end — from an idea in a conversation, through the API and data model, to what the customer actually sees and trusts. A core part of the work is building AI agents and the tools and workflows around them, in a product that’s live in production, not a pilot. This is a Senior-level role. What you’ll do – Build and improve the product experiences small business owners and accountants use every day – Develop backend services and integrations with the systems accounting runs on – Design and ship reliable AI-powered workflows (LLM APIs, tool calling, streaming, agent flows) where „usually right“ is not good enough – Improve reliability and performance, and keep the codebase a good place to work – Work closely with product, engineering, and domain experts to take ideas all the way to customers\n\nYou will be:\n\nMinimum 6 years of commercial experience in fullstack software development;\n\nBackend: Node.js + Express, strong command of TypeScript;\n\nFrontend: React and Next.js (SSR/SSG, App Router);\n\nDesigning and building REST APIs (GraphQL a plus);\n\nPostgreSQL – data modeling and query optimization;\n\nTesting: unit and integration tests (e.g. Jest/Vitest);\n\nCI/CD and containerization (Docker);\n\nExperience with the cloud (AWS / GCP / Azure);\n\nHands-on AI/LLM production experience: LLM APIs, tool calling, streaming, prompting, or agent workflows;\n\nAI-native: daily work with AI development tools (e.g. Cursor, GitHub Copilot, Claude Code);\n\nAbility to verify, debug, and refactor AI-generated code;\n\nYour profile:\n\nSelf-reliance and ownership – driving a task from analysis through to deployment;\n\nAbility to make architectural decisions and justify them;\n\nClear technical communication with the team and stakeholders;\n\nExperience in a startup or small, fast-moving team;\n\nPractical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery;\n\nWork from the European Union region and a work permit are required.\n\nNice to have:\n\nExperience with NoSQL databases (e.g. MongoDB, Redis);\n\nBuilding AI features: RAG, embeddings, prompt engineering, agents;\n\nEnd-to-end testing (Playwright / Cypress);\n\nMicroservices architecture and monorepo experience (Nx / Turborepo);\n\nCloud certifications (AWS/GCP/Azure);\n\nORM familiarity (e.g. Prisma, TypeORM);\n\nExperience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work;\n\nInterest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches;\n\nRecruitment Process:\n\nCV review – HR call – Interview – Client Interview – 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