{"id":2346940,"url":"https://alion.io/job/cygnify-full-stack-developer-ai","title":"Full Stack Developer (AI)","company":{"id":4418503,"name":"Cygnify","domain":"cygnify.io","url":"https://alion.io/company/cygnify","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":112000,"period":"year","method":"role_country_seniority_unknown","sample_n":265},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Anthropic","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Next.js","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"React.js","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-18T12:42:31Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-13T01:34:54Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Full Stack Engineer - AI\nRole\nWe are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.\nFocus\nBuild end-to-end product features across frontend, backend, and AI integrations\n\nDesign agent workflows that handle planning, tool use, failure, and recovery across multiple steps.\n\nIntegrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions\n\nDesign real-time AI interactions with streaming, partial results, and tight latency constraints\n\nImprove system reliability, observability, and fallback mechanisms\n\nCollaborate closely with ML, backend, and product teams to ship features end-to-end\n\nContinuously iterate based on real usage and failure modes\n\nIdeal Experiences\nStrong experience in full stack engineering (frontend + backend)\n\nSolid understanding of system design and API architecture\n\nExperience working with LLMs, RAG systems, or AI-powered applications\n\nAbility to handle ambiguity and make pragmatic engineering decisions\n\nStrong ownership - 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