{"id":1903169,"url":"https://alion.io/job/bjak-backend-engineer-ai-agent-systems-4","title":"Backend Engineer, AI (Agent Systems)","company":{"id":12599,"name":"Bjak","domain":"bjak.my","url":"https://alion.io/company/bjak","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":83,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seoul, South Korea"],"countries":["KR"],"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":"Embeddings","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Anthropic","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-28T04:23:47Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-03T11:25:56Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"About ActAI\nThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.\nOur product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.\nOur objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things.\nRole\nAs a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.\nYou will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.\nFocus\nBuild and operate backend systems that serve AI-powered features in production.\n\nDesign inference pipelines, orchestration layers, and service boundaries around models.\n\nOwn production concerns: monitoring, logging, alerting, and incident response.\n\nOptimize latency and throughput across inference, caching, batching, and streaming.\n\nIdeal Experiences\nStrong backend engineering fundamentals in production environments.\n\nExperience running high-throughput, low-latency services.\n\nFamiliarity with AI inference patterns (LLMs, embeddings, multimodal).\n\nComfortable debugging distributed systems under load.\n\nBias toward shipping and learning from production behavior.\n\nOutcomes\nBackend systems run reliably at scale, handling production AI traffic with low latency and high throughput.\n\nAPIs are stable, clear, and support seamless integration with frontend and ML systems.\n\nProduction incidents are quickly detected, diagnosed, and resolved, minimizing user impact.\n\nIterative improvements based on real usage continuously increase system performance and reliability.\n\nTech Stack\nPython\n\nNodeJs\n\nPytorch\n\nOpenAI / Anthropic / open-source LLMs\n\nSQl & noSQL\n\nKubernetes\n\nDocker\n\nHow We Work\nThe best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product\nInterview process\nIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.\nApplications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.\nWe value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. 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