{"id":3875180,"url":"https://alion.io/job/scale-ai-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":27,"name":"Scale AI","domain":"scale.com","url":"https://alion.io/company/scale-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":158,"ghost_share":0.19,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":97,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuwait City, Kuwait"],"countries":["KW"],"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":"C++","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Context Engineering","optional":true},{"name":"GCP","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-06T14:23:21Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T11:33:50Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"About the role\nScale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations.\nYou'll own scoped components of those systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery. Senior engineers set the system-level design and client commitments, so you can go deep on making your components work reliably on real data.\nWhat you'll do\nOwn the implementation, testing, and delivery of defined AI components within an established system design\nBuild agent tools, model integrations, and the backend services and APIs they depend on\nRun and extend evaluations within an established framework, interpret results, investigate common failure modes, and flag regressions\nDebug production issues in the components you own and resolve them using the team's engineering practices\nCommunicate progress and blockers early, and take responsibility for delivery dates within your scope\nWork directly with client teams on the requirements and feedback for your components\nShare what you learn with the team as you build public sector domain expertise\nWhat we look for\nExperience building and shipping production software, with proficiency in Python and working knowledge of at least one of TypeScript, Java, or C++\nHands-on experience integrating models or AI/ML components into a production application, such as calling LLMs, building retrieval or agent tooling, or deploying a trained model\nA working understanding of ML evaluation: how to read results, spot regressions, and identify common causes of model failure\nExperience owning a defined piece of work through testing, release, and production debugging\nStrong problem-solving skills and a data-driven approach to iterating on models and datasets\nClear written and verbal communication, including raising blockers and trade-offs early\nNice to have\nA backend or full-stack engineering background, so you can work across the API, service, and data-schema layers of the systems you contribute to\nExperience with cloud ML platforms such as AWS, GCP, or Azure\nExposure to agentic workflows, retrieval-augmented generation, or context engineering\nExperience handling regulated or sensitive data\nWhere this role sits\nYour primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem.\nPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.\nAbout Us:\nAt Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.\nWe believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. \nWe are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information.\nWe comply with the United States Department of Labor's Pay Transparency provision. \nPLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.","description_format":"text","description_chars":5057,"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":["Government","LLM & Generative AI","AI Training Data & Annotation","AI Evaluation & Observability"],"lifecycle":[{"event":"open","at":"2026-11-06T16:01:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":97,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/scale-ai-applied-ai-engineer","json_url":"https://alion.io/job/scale-ai-applied-ai-engineer.json","meta":{"generated_at":"2026-11-09T11:39:20Z","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":13733,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":27},"rest":"https://alion.io/mcp/rest/get_company?id=27"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fscale-ai-applied-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fscale-ai-applied-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fscale-ai-applied-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/scale-ai-applied-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fscale-ai-applied-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3875180}},{"tool":"search_jobs","arguments":{"company":"scale.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3875180},"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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