{"id":1483561,"url":"https://alion.io/job/salt-application-engineer-llm","title":"Application Engineer – LLM","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":64,"open_postings":1440,"ghost_share":0.603,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"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":140000,"max_usd":304000,"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Python","optional":true}],"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":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":26},"description":"Back to all jobs\nApplication Engineer - LLM\nRef: JO-2609-363169\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\n2026-10-26 \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. They are looking for an LLM Application Engineer to build the intelligence layer behind these experiences, turning advanced model capabilities into reliable, scalable and intuitive products.\nAbout the Role\nAs an LLM Application Engineer, you will work at the intersection of Large Language Models, software engineering and product development. You will design agentic workflows, improve model behavior and build the systems required to transform probabilistic AI outputs into dependable user experiences.\nThis is an end-to-end engineering role. You will work from understanding user and product requirements through to designing agent workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production.\nWhat You’ll Be Doing\nBuild and ship LLM-powered applications and AI agent workflows.\nDesign systems supporting reasoning, planning, memory, tool use and multi-step execution.\nBuild reliable orchestration pipelines that transform probabilistic model outputs into predictable, observable and safe actions.\nIntegrate LLMs with APIs, databases, search capabilities, internal services and external tools.\nDevelop prompting, context engineering, structured outputs and tool-calling approaches to improve model behavior.\nBuild evaluation frameworks and datasets to measure AI quality, reliability and regressions.\nDebug AI systems across the entire stack, from model behavior and prompts through to orchestration, backend services and product experience.\nOptimize AI systems for quality, latency, scalability and cost.\nEstablish production practices across observability, tracing, experimentation, evaluation and continuous improvement.\nWork closely with product and engineering teams to translate ambiguous product challenges into working AI solutions.\nContinuously improve AI workflows using real-world usage, evaluation results and production performance.\nWhat We’re Looking For\nStrong software engineering fundamentals with experience building production applications.\nHands-on experience developing LLM, Generative AI or agent-based systems.\nExperience building AI-powered applications that extend beyond basic model or API integrations.\nPractical experience designing prompts, agent workflows, evaluations and AI behaviour.\nUnderstanding of tool calling, context engineering, retrieval, memory and multi-step agent execution.\nAbility to write clean, maintainable and production-quality code.\nComfortable working across multiple abstraction layers, from model → system → product.\nStrong understanding of API architecture and backend systems.\nStrong problem-solving skills and the ability to operate effectively within ambiguous technical environments.\nA bias toward experimentation, shipping, iteration and continuous improvement.\nTechnology Environment\nExperience across some of the following technologies and areas would be highly relevant:\nPython\nLarge Language Models (LLMs)\nCommercial and open-weight models\nLLM APIs and model providers\nAgent frameworks and orchestration systems\nVector databases\nRetrieval systems / RAG\nAI memory and context systems\nTool calling and structured outputs\nBackend services and APIs\nDistributed systems\nPyTorch\nJAX\nAI evaluation and observability tooling\nWhat Success Looks Like\nYou will successfully take AI capabilities from experimentation into reliable production experiences that deliver measurable user value.\nLLM-powered workflows will become increasingly scalable, observable and maintainable, with systematic evaluation and experimentation used to improve AI quality over time.\nAgent workflows will become more predictable, efficient and cost-effective while maintaining strong performance across complex, multi-step tasks.\nUltimately, you will help translate sophisticated AI capabilities into simple and intuitive product experiences, ensuring the complexity behind the technology is largely invisible to the end user.\nSalt is acting as an Employment Agency in relation to this vacancy.\nApply Report issue\n\nShare:","description_format":"text","description_chars":4659,"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"}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.289,"p_room":0.75,"age_days":26,"expected_fill_days":30,"reasons":["conf:7","agency","stale_co","urgency","win:late","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/salt-application-engineer-llm","json_url":"https://alion.io/job/salt-application-engineer-llm.json","meta":{"generated_at":"2026-10-01T04:49:34Z","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":4355,"day_limit":5000,"remaining_today":645,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}