{"id":1483560,"url":"https://alion.io/job/salt-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":1935342,"name":"Salt","domain":"welovesalt.com","url":"https://alion.io/company/welovesalt","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"C","score":63,"open_postings":1439,"ghost_share":0.613,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-03T05:45:00Z"}},"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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":139000,"max_usd":302000,"period":"year","method":"role_country_seniority_unknown","sample_n":2986},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"Tool Use","optional":false},{"name":"vLLM","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-09-29T22:22:26Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":29},"description":"Back to all jobs\nApplied AI Engineer\nRef: JO-2609-363170\nUSA \n\nData, AI and Machine Learning, Technology \n\nInsurance \n\n250 - 999 Employees \n\nEnvironment:\n\nRemote \n\nContract Type:\n\nPermanent \n\nStarts:\n\n2026-11-02 \n\nApply Report issue\nAbout the Opportunity\nWe are partnering with a fast-growing technology company developing a new generation of AI-native applications designed to make everyday tasks, communication, organization and workflows more intelligent and intuitive.\nThe team is building proactive AI experiences with a strong focus on persistent context, reliable long-running workflows and successful real-world task completion.\nThey are looking for an Applied AI Engineer to bridge the gap between advanced model capabilities and real-world product experiences.\nAbout the Role\nAs an Applied AI Engineer, you will turn model capabilities into reliable, production-ready product behavior.\nYou will own problems end-to-end, from shaping model behavior and designing AI workflows through to building the surrounding systems and ensuring they perform effectively in production.\nSitting at the intersection of machine learning, systems engineering and product, this role is focused on making AI work for real users - not simply building models or demonstrations.\nWhat You’ll Be Doing\nBuild and ship AI-powered features end-to-end, from model to system to user experience.\nDesign, test and continuously improve prompts, tools, memory systems and agent workflows.\nTransform raw model outputs into structured, reliable and predictable product behaviors.\nBuild and improve agentic systems capable of interacting with tools, data and external services.\nDebug issues across the complete AI stack, including models, orchestration, infrastructure and user experience.\nOptimize AI systems for latency, cost, performance and production reliability.\nDevelop lightweight evaluation frameworks to measure real-world model and system performance.\nIdentify model and system failure modes and develop mechanisms to improve reliability.\nWork closely with product, engineering and research teams to translate ambiguous problems into working solutions.\nContinuously iterate on models and systems using production data, user behavior and measurable performance signals.\nWhat We’re Looking For\nStrong foundation in machine learning and modern neural network architectures.\nHands-on experience training, fine-tuning and/or deploying machine learning models.\nPractical experience working with Large Language Models (LLMs) and modern generative AI systems.\nExperience building AI-powered applications or features that have been deployed into production.\nAbility to write clean, maintainable and production-quality code.\nComfortable working across multiple abstraction layers, from models and infrastructure through to product.\nUnderstanding of inference, model serving and production ML considerations.\nStrong problem-solving skills and the ability to navigate ambiguous technical challenges.\nAbility to make pragmatic engineering decisions in a fast-moving environment.\nA strong bias toward shipping, experimentation, iteration and continuous improvement.\nTechnology Environment\nExperience across some of the following technologies and areas would be highly relevant:\nPython\nPyTorch\nJAX\nLarge Language Models (LLMs)\nCommercial and open-source model APIs\nLLaMA\nQwen\nvLLM or similar inference/serving technologies\nVector databases\nModel training and fine-tuning\nAI agents and tool calling\nMemory and context systems\nModel evaluation frameworks\nProduction ML infrastructure\nWhat Success Looks Like\nAI and machine learning capabilities will successfully translate into reliable, production-ready product experiences that meet defined accuracy, latency and reliability targets.\nProduction issues will be quickly identified, debugged and resolved at their root cause, whether they originate within the model, orchestration layer, infrastructure or product experience.\nData pipelines, training processes and inference systems will remain robust, reproducible and maintainable as the product scales.\nYou will work closely with engineering, product and research teams to ensure improvements are driven by real-world signals and measurable outcomes, continuously increasing the performance and reliability of AI-powered features.\nSalt is acting as an Employment Agency in relation to this vacancy.\nApply Report issue\n\nShare:","description_format":"text","description_chars":4394,"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":[],"lifecycle":[{"event":"open","at":"2026-09-29T21:51:31Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.308,"p_room":0.55,"age_days":29,"expected_fill_days":29,"reasons":["conf:79","agency","stale_co","urgency","velocity","win:tail","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/salt-applied-ai-engineer","json_url":"https://alion.io/job/salt-applied-ai-engineer.json","meta":{"generated_at":"2026-10-04T01:09:54Z","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":1489,"day_limit":5000,"remaining_today":3511,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}