{"id":4030170,"url":"https://alion.io/job/deloitte-ai-native-full-stack-backend-engineer-forward-deployed-engineering","title":"AI-Native Full-Stack / Backend Engineer (Forward Deployed Engineering)","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Katowice, Poland","Warsaw, Poland","Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Angular","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"React.js","optional":true},{"name":"Vue.js","optional":true}],"status":"live","first_seen_at":"2026-11-10T13:47:29Z","employer_posted_date":null,"last_verified_at":"2026-11-10T13:47:29Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Who we are looking forThis is a future-oriented recruitment process. While we may not have an immediate opening, we're building a network of talented engineers interested in future opportunities with Deloitte. We expect demand to grow in the coming months, so we'd love to get to know great candidates in advance.\nWe are looking for an experienced AI-native Full-Stack or Backend Engineer who combines strong software engineering fundamentals with advanced practical experience in AI-assisted and agentic development.\nYou will work with clients, architects, product teams, and business stakeholders to turn complex and often ambiguous problems into production-ready solutions. AI-native engineering is a core capability of this role, with AI integrated across the SDLC while maintaining high standards of quality, security, and maintainability.\nThe role is technology-agnostic. You should be comfortable working across different technology stacks, rapidly understanding unfamiliar systems, and selecting the right approach for the problem.\n\nZakres obowiązków\nOwn solution delivery end-to-end: work directly with clients to understand business problems, design solutions, and deliver production-grade applications, services, APIs, integrations, and data solutions.\nApply AI-native engineering across the SDLC: use advanced agentic development practices to accelerate discovery, design, implementation, testing, review, debugging, documentation, and production support while maintaining engineering quality and security.\nWymagania\nCore Qualities:\nAI-native engineering\nYou use AI and coding agents as an integral part of software engineering and understand the advanced practices required to make agentic development effective, reliable, and scalable across the SDLC.\nTechnology-agnostic problem solving\nYou have strong engineering fundamentals and can quickly become productive across unfamiliar languages, frameworks, platforms, and architectures.\nEnd-to-end ownership\nYou take responsibility for outcomes across the complete lifecycle — from understanding the business problem and designing the solution to implementation, deployment, and production operation.\nSystems thinking\nYou reason about complete systems, including applications, APIs, data, integrations, infrastructure, security, observability, and operational constraints.\nCustomer-focused collaboration\nYou work effectively with clients and multidisciplinary teams, translating ambiguous business needs into practical technical solutions and communicating decisions and trade-offs clearly.\nCuriosity and adaptability\nYou enjoy solving unfamiliar problems, learning new technologies, and continuously improving how software is designed and delivered.\nRequired experience and engineering capabilities:\nAdvanced and proven experience designing, leading, and controlling agentic software development as a primary way of delivering complex software. You should be able to demonstrate how you structure the work of AI coding agents across the SDLC — providing them with the right specifications, context, tools, environments, orchestration, guardrails, and feedback mechanisms — to reliably deliver production-quality software while retaining engineering oversight and accountability.\nApproximately 5+ years of professional software engineering experience, preferably including consulting, client-facing engineering, solution engineering, or similar roles.\nStrong backend or full-stack engineering experience in one or more ecosystems such as Java, C#, Python, Node.js/TypeScript, Go, or similar, combined with the ability to work effectively outside a primary technology stack.\nExperience designing and delivering APIs, integrations, distributed systems, event-driven architectures, and data-intensive applications.\nStrong knowledge of relational and non-relational databases and experience with cloud platforms such as Azure, AWS, or Google Cloud.\nStrong understanding of software architecture, security, scalability, reliability, performance, and maintainability.\nHands-on experience with Git, automated testing, CI/CD, containers, observability, and modern software delivery practices.\nAbility to independently investigate unfamiliar systems, operate effectively with incomplete or evolving requirements, and rapidly become productive in new technical environments.\nStrong problem-solving, client communication, and stakeholder-management skills, including the ability to explain technical decisions and trade-offs to technical and non-technical audiences.\n\nAdditional experience that will help you succeed:\nFrontend experience with React, Angular, Vue, or similar frameworks.\nExperience with Kubernetes, Docker, serverless architectures, microservices, and infrastructure as code.\nKnowledge of enterprise platforms such as Salesforce, Microsoft platforms, Creatio, or comparable systems.\nExperience delivering AI agents, 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