{"id":1027707,"url":"https://alion.io/job/ing-group-ai-engineer","title":"AI Engineer","company":{"id":3744,"name":"ING Group","domain":"ing.com","url":"https://alion.io/company/ing","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":87,"ghost_share":0,"stale_share":0.724,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-09-30T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Brussels, Belgium"],"countries":["BE"],"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":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google ADK","optional":false},{"name":"gRPC","optional":false},{"name":"LangChain","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"OpenShift","optional":true}],"status":"closed","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-09-29T18:47:50Z","board_verified":false,"closed_at":"2026-09-29T18:47:50Z","days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"A day in the life of an AI Engineer\nAs an AI Engineer in the SRE department of Tech BE, you will help shape and evolve agentic Software Delivery Lifecycle (SDLC) workflows, turning GenAI capabilities into reliable, production-ready engineering solutions.\nDeveloping production-ready GenAI and agentic solutions from early concept to production by leveraging GitHub-based engineering tools, including GitHub Copilot, prompts, agent skills, and instruction files, and building Python-based services on Google Cloud using Vertex AI, FastAPI, LangChain, and Google ADK to deliver measurable engineering impact.\nDesigning intelligent, cloud-native AI workflows and distributed multi-agent systems that are reliable, secure, observable, scalable, and cost-efficient in production, integrating GitHub-based CI/CD workflows and automation for sustainable operation and evolution.\nCollaborating daily with SREs, software engineers, product partners, and subject-matter experts to translate complex problems into scalable GenAI solutions that improve engineering experience and operational resilience.\nImproving AI agent quality through evaluation, testing, monitoring, and feedback loops, while operating services through CI/CD pipelines, GitHub workflows, and Infrastructure as Code, such as Terraform.\nShaping GenAI engineering standards and best practices across ING, helping teams apply responsible AI to strengthen digital services that support customers and society.\nHow to succeed\nWe hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.\nAs an AI Engineer, you will be successful in this role if you can:\nTurn complex and loosely defined problems into clear, step-by-step solutions, knowing when and how GenAI, LLMs, or agentic approaches can meaningfully improve engineering workflows.\nApply a solid software engineering background from backend, platform, cloud, data, or similar roles to design, build, document, test, review, and evolve production-ready solutions. Python, GitHub-based version control, RAG, vector databases, Docker, Terraform, and cloud-native patterns are common foundations; GitHub Copilot, Vertex AI, FastAPI, LangChain, and Google ADK are technologies used by the team.\nDesign and deliver reliable, scalable APIs and asynchronous services, using appropriate interface patterns such as REST or gRPC, and take them into production with robust testing, documentation, code review, and CI/CD practices.\nTake ownership of running systems, balancing reliability, security, performance, and cost, and contributing to smooth delivery through modern DevOps practices and GitHub-based workflows.\nLearn and adapt continuously, staying curious and comfortable experimenting with evolving GenAI concepts such as agent orchestration, LLMOps, or AI-assisted development tools, even if your experience comes from adjacent technologies.\nWork effectively with others, combining clear communication, collaboration, and technical judgment to turn AI-enabled solutions into measurable outcomes that support ING’s purpose and positive societal impact.\nNice to have\nExperience with Kubernetes, OpenShift, or equivalent container orchestration platforms.\nPractical understanding of LLM architecture, evaluation, limitations, and responsible use.\nPractical experience with enterprise LLMs through approved cloud platforms and transferable experience with agentic frameworks.\nExperience with event-driven architecture, OpenAPI integration or governance, or high-throughput API services.\nContributions to open-source projects or other evidence of knowledge sharing and engineering craft.\nAs anAI Engineer, you will have the opportunity to:\nGrow as an engineer, strengthen your software engineering foundation while developing deep expertise in modern AI and GenAI engineering practices.\nMake a tangible impact across ING Tech Belgium, contributing to shared GenAI platforms, standards, and solutions that are reused across teams and tribes.\nContinuously learn and evolve, gaining hands-on experience with new AI engineering technologies, tools, and ways of working as ING scales its agentic and GenAI capabilities.\nThe team\nThe SRE Belgium Tribe plays a key role in keeping ING Belgium’s most important digital services reliable, secure, and scalable, supporting essential sales and servicing journeys used daily by customers. Working closely with engineering teams across the bank, SRE focuses on modern engineering practices that strengthen the stability and quality of ING’s technology platforms.\nYou will join a newly created AI Engineering team within SRE. This team is responsible for building and scaling agentic Generative AI workflows across the Software Development Lifecycle (SDLC). Using GitHub-based technologies, the team develops reusable AI capabilities that help DevOps teams across ING work faster, smarter, and more consistently.\nOperating at the intersection of software engineering, reliability, and AI, the team’s mission is to scale Generative AI safely, responsibly, and effectively across ING. By providing standardized platforms and tools, such as GitHub Copilot and VISTA (Google Cloud Platform), the team enables engineers to adopt GenAI with confidence.\nWould you like to get to know the department better? Book a coffee with the hiring manager, a team member, or the recruiter. In a second phase you could get to know the job content better via a My Job Your Job.","description_format":"text","description_chars":5558,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-18T12:23:58Z"},{"event":"close","at":"2026-09-29T18:47:50Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/ing-group-ai-engineer","json_url":"https://alion.io/job/ing-group-ai-engineer.json","meta":{"generated_at":"2026-10-01T03:00:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2433,"day_limit":5000,"remaining_today":2567,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}