{"id":4309332,"url":"https://alion.io/job/adaptiq-principal-ai-platform-engineer-adaptiq","title":"Principal AI Platform Engineer - Adaptiq","company":{"id":4485822,"name":"Adaptiq","domain":"adaptiq.co","url":"https://alion.io/company/adaptiq","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AM"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-14T10:52:54Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"We are looking for a Senior Software Engineer to develop platform capabilities supporting AI model deployment and operation. You will combine Python development with hands-on infrastructure engineering, improving the tools and services that help teams bring AI workloads into production. Your work will include performance optimization, automation, and operational reliability. You will collaborate with other engineers, contribute to technical decisions, and take ownership of your work from design through deployment and ongoing support. The role includes participation in an on-call rotation. Responsibilities\nDevelop Python services and tools supporting AI workloads.\nDeploy, operate, and scale LLM inference services to meet the needs of active users and production traffic.\nConfigure and optimize model execution across multiple GPUs and compute nodes.\nBuild and improve automated deployment and configuration workflows.\nIntegrate and configure model-serving technologies.\nAnalyze system performance and improve scalability, resource efficiency, and reliability.\nDesign tests to evaluate production readiness and identify performance bottlenecks.\nImprove monitoring, diagnostics, and recovery processes.\nExperience\nStrong Python development skills and experience building maintainable production software.\nHands-on experience operating LLM inference services in production, supporting active users and real-world traffic.\nPractical experience deploying and serving models across multi-GPU configurations and multi-node environments.\nExperience configuring and tuning an LLM-serving framework, such as vLLM or a comparable technology.\nPractical understanding of GPU memory constraints and how they affect model deployment and execution.\nExperience evaluating performance under load and interpreting latency, throughput, and resource usage.\nFamiliarity with techniques for reducing model memory requirements and improving inference efficiency.\nExperience with infrastructure automation and infrastructure-as-code tools.","description_format":"text","description_chars":2023,"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":[{"name":"Armenia","iso":"AM","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Transportation & 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