{"id":1175040,"url":"https://alion.io/job/ooca-ai-engineer-and-data-specialist","title":"AI Engineer and Data Specialist","company":{"id":5659,"name":"Ooca","domain":"ooca.com","url":"https://alion.io/company/ooca","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Bangkok, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":83000,"period":"year","method":null,"sample_n":3649},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"LoRA","optional":false},{"name":"Metabase","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"Ollama","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TGI","optional":false},{"name":"Tool Use","optional":false},{"name":"vLLM","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-09-24T11:15:46Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T21:17:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Key Responsibilities\nDesign, build, and optimize LLM pipelines including retrieval, context assembly, grounding, prompting, and tool-calling. \n Develop RAG systems using vector databases, metadata design, chunking strategies, and hybrid retrieval approaches. \n Build agentic workflows and function-calling systems capable of reasoning, planning, and executing tasks. \n Evaluate model performance using structured test suites, synthetic QA generation, and benchmark datasets. \n Work closely with product and domain experts to translate ambiguous requirements into clear, structured LLM tasks. \n Diagnose and mitigate failure modes such as hallucinations, retrieval misses, and context collisions. \n Apply lightweight fine-tuning or LoRA when needed for task-specific improvements. \n Develop and maintain backend components for LLM pipelines (FastAPI, event systems, queues). \n Prepare unstructured documents (PDFs, HTML, logs, knowledge bases) for ingestion and indexing in vector/RAG systems. \n Support deployment across cloud or on-prem infrastructure (vLLM, TGI, Ollama, GPUs, token-budgeting). \n Ensure all AI features are grounded, safe, testable, reproducible, versioned, and backed by real evaluation-not guesswork.\nRequirements\nRequired\nBachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, or related field; or equivalent practical experience.\n1-3 years of experience in a data / AI / analytics / software role, or strong project portfolio demonstrating equivalent capability (strong fresh graduates will be considered if portfolio is solid).\nPractical proficiency in Python for: \nData handling (e.g. pandas, basic NumPy)\nCalling APIs and working with JSON\nWriting small scripts/services\nPractical proficiency in SQL (e.g. MySQL, PostgreSQL) for querying, joining, and aggregating data.\nExperience with at least one BI / dashboarding tool (Looker Studio, Metabase, Power BI, Tableau, or similar).\nHands-on experience using LLM / AI APIs in projects (personal, academic, or production), not only theoretical knowledge.\nAbility to structure problems, work independently on tasks, and deliver within agreed timelines.\nAbility to communicate clearly in Thai, with working proficiency in English for tools, documentation, and some communication.\nBenefits\nHealth Insurance\nHybrid\nAnnual Leave 12 days\nMental Health counseling sessions with psychiatrists and psychologists through ooca platform\nSocial Security Insurance\nProvident Fund (condition applied)\nAnnual Health check-up (condition applied)\nSpecial discount home loan interest with Government Housing Bank\nBYOD policy: Personal laptops less than 3 years old are eligible for 1000 THB/month subsidy (registration required)","description_format":"text","description_chars":2725,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Thai","level":"All levels","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Health insurance"],"hiring_locations":[{"name":"Thailand","iso":"TH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Telemedicine & Virtual Care","Digital Mental Health"],"lifecycle":[{"event":"open","at":"2026-09-24T11:15:46Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":33,"reasons":["conf:0","win:early"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/ooca-ai-engineer-and-data-specialist","json_url":"https://alion.io/job/ooca-ai-engineer-and-data-specialist.json","meta":{"generated_at":"2026-09-26T00:11:52Z","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":87,"day_limit":5000,"remaining_today":4913,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}