{"id":4309339,"url":"https://alion.io/job/adaptiq-ai-workloads-engineer-adaptiq","title":"AI Workloads 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":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-14T10:52:54Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"This is an experienced, hands-on software engineering position in a small AI workloads team. You will build Python-based inference and performance-modeling infrastructure, run and adapt real workloads, and turn measurements into findings that hardware, software and business stakeholders can use. The scope includes both existing and next-generation hardware. You will have room to take work through implementation, profiling and reporting rather than handling only narrowly defined tasks. Prior chip expertise is notResponsibilities\nBuild and maintain features for inference workflows and performance models, contributing code through pull requests.\nModel end-to-end inference behavior across simulation and execution on hardware.\nRun and adapt open-source AI models to investigate how they perform on current or planned chips.\nInstrument and profile workloads; analyze latency, throughput, batching and request-level statistics.\nInvestigate workflows involving assisted decoding, dynamic batching and key-value cache use.\nUse SDK and framework-integration tools to identify full-stack bottlenecks.\nConnect tools that do not already work together, and prototype runtime components or kernels when a workflow requires them.\nWork with compiler, runtime and hardware design teams on potential improvements.\nExperience\nAt least 4 years of software engineering experience, with substantial hands-on development.\nStrong, current Python skills and the ability to understand and review the code you work with.\nStrong PyTorch development experience.\nPractical experience with LLMs or relevant AI systems beyond calling a hosted API, such as examining or adapting open-source models.\nUnderstanding of transformer-based models and attention, with familiarity with inference concepts such as KV caches, batching or assisted decoding.\nSound problem-solving skills and the ability to explain your own work, decisions and results to different audiences.","description_format":"text","description_chars":1939,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Artificial Intelligence","Cybersecurity","Transportation & 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