{"id":3505263,"url":"https://alion.io/job/ajentik-ai-ai-engineer","title":"AI Engineer","company":{"id":4487863,"name":"Ajentik","domain":"ajentik.sg","url":"https://alion.io/company/ajentik","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":{"min":6000,"max":9000,"currency":"SGD","period":"month","gross":true,"usd_annual":84372},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FHIR","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"HL7","optional":false},{"name":"ISO 27001","optional":false},{"name":"ISO 42001","optional":false},{"name":"LLM","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Function Calling","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multimodal AI","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Pydantic","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Reranking","optional":true},{"name":"Speech Recognition","optional":true},{"name":"Supabase","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-30T00:00:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"About AjentikAjentik AI Pte. Ltd. is a Singapore healthtech company incubated at NUSX (formerly NUS Enterprise). We build Elderwise, an AI-powered Comprehensive Geriatric Assessment (CGA) platform that turns caregiver observations into structured, EMR-ready clinical summaries. Caregivers speak with our voice assistant in the browser, with no app to install. Clinicians receive a structured summary to review and file, and families receive a plain-language report. We are in pilot discussions with geriatric teams across Singapore's public healthcare clusters and the community care sector.\nAbout the RoleAs an AI Engineer, you will build the conversational and extraction pipelines at the heart of Elderwise: the voice conversation with a caregiver, the structured clinical fields it produces, and the summary a clinician reviews and signs. You will ship to real users in a setting where accuracy, privacy and clinician trust matter more than demo polish.\nThe role suits an engineer with one to four years of experience who has shipped software to production and wants to go deep on applied LLM engineering. You will work directly with the founders, our engineers and our Clinical Lead, with experienced engineers reviewing your designs and code. Your scope will grow as you show you can own it.\nKey ResponsibilitiesBuild and improve LLM pipelines end to end: conversation design, prompting, structured outputs, schema validation, retries, logging and storage\nTurn caregiver conversations into validated clinical fields, each traceable to what was said and marked as stated, inferred or not asked\nIntegrate speech-to-text and text-to-speech into low-latency voice conversations, and catch transcription errors before they reach a clinical document\nGrow our evaluation suite: golden sets, synthetic caregiver personas, adversarial cases and regression checks that run in CI on every prompt or model change\nTrack quality, cost and latency per release, and make model and prompt changes on evidence rather than intuition\nPush the boundaries of what our AI can do: prototype next-level capabilities such as emotion and stress detection from voice and conversation, measure them rigorously with our Clinical Lead, and take what works from experiment into the product\nBuild guardrails that hold every time: no diagnosis or medical advice, safe escalation paths and defences against prompt injection\nProduce interoperable outputs (structured JSON, PDF reports and HL7 FHIR R4 resources) that fit how hospitals file records\nHandle personal and health data responsibly under PDPA and our ISO 27001 and ISO 42001 programmes, from data minimisation to redacted logs\nWork spec-first with AI coding agents: write the spec and tests, let the agent implement, and own the result\nJoin clinician and caregiver sessions to see how the product is used, and turn what you learn into engineering work\nRequirements1 to 4 years of professional software engineering experience, with strong Python\nAt least one LLM-powered feature or product you built that real users relied on, not only a demo, and the ability to explain what broke and how you fixed it\nWorking knowledge of structured outputs, prompt design and the ways LLMs fail, including hallucination, non-determinism and behaviour changes between model versions\nA habit of measuring: you write tests and evaluations, not only prompts\nSolid fundamentals in APIs, SQL, Git, automated testing and CI\nClear written communication in English, and honesty about what you know and what you don't\nCare for privacy and safety when working with sensitive personal data\nNice to HaveExperience with voice or speech systems: streaming STT and TTS, turn-taking and realtime audio\nFastAPI and Pydantic, PostgreSQL with pgvector, Supabase, Docker and Kubernetes\nRetrieval (hybrid search, reranking) and agent tool use, including the Model Context Protocol (MCP)\nServing open-weight models (for example with vLLM) or running small models on device\nResearch or prototyping in affective computing, speech emotion recognition or multimodal models\nHealthcare data standards such as HL7 FHIR, or experience in healthtech or another regulated domain\nConversational Mandarin, Malay or Tamil, to help evaluate multilingual caregiver conversations\nA degree in computer science, engineering or a related field, or equivalent practical experience\nWhat We OfferCompetitive salary with equity participation\nReal ownership of production AI systems from your first month\nRoom to explore new AI capabilities and take the best ideas into production\nMentorship from experienced engineers, our Clinical Lead and the founders\nDirect contact with the clinicians and caregivers who use what you build\nAccess to frontier and open-weight models and modern AI development tooling\nHealth benefits and flexible work arrangements\nLearning budget for courses and conferences\nA clear path toward Senior AI Engineer as the engineering team grows\nYour ImpactEvery field our pipeline captures correctly is one less question a clinician has to ask again, and every hour we save goes back to patient care. Your work will decide whether clinicians can trust AI with the information that shapes care for older adults, in Singapore and beyond.\nAjentik is an equal opportunity employer. We welcome applicants of all backgrounds and assess every candidate on merit.\nSkills\nGit, Retrieval-Augmented Generation (RAG), HL7, Generative AI Application Development and Deployment, AI Agents, PostgreSQL, Natural Language Processing, Test Automation, Personal Data Protection, SQL, Speech Recognition, LLMs, Python, CI/CD, Generative AI, Generative AI Prompt Engineering, Docker, Text-to-Speech (TTS), Generative AI Model Evaluation, FastAPI","description_format":"text","description_chars":5711,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-30T04:28:43Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["seen:0","win:early","comp:junior"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":84372,"is_top_pay":false},"html_url":"https://alion.io/job/ajentik-ai-ai-engineer","json_url":"https://alion.io/job/ajentik-ai-ai-engineer.json","meta":{"generated_at":"2026-10-31T03:14:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4533,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4487863},"rest":"https://alion.io/mcp/rest/get_company?id=4487863"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fajentik-ai-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fajentik-ai-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fajentik-ai-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ajentik-ai-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fajentik-ai-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3505263}},{"tool":"search_jobs","arguments":{"company":"ajentik.sg","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3505263},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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