{"id":3761675,"url":"https://alion.io/job/avenga-senior-aillm-platform-engineer","title":"Senior AI/LLM Platform Engineer","company":{"id":181252,"name":"Avenga","domain":"avenga.com","url":"https://alion.io/company/avenga","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":77,"open_postings":25,"ghost_share":0,"stale_share":0.92,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"CUDA","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Gemma","optional":false},{"name":"Kubernetes","optional":false},{"name":"Llama","optional":false},{"name":"llama.cpp","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"Ollama","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Quantization","optional":false},{"name":"Qwen","optional":false},{"name":"SGLang","optional":false},{"name":"Terraform","optional":false},{"name":"vLLM","optional":false},{"name":"AI Agents","optional":true},{"name":"LiteLLM","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-04T13:41:21Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T05:09:27Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. \nAt the core of the role\nWe’re looking for an experienced platform engineer to build and run the environments where our AI runs. You will set up on-premise and cloud LLM platforms, deploy and serve open-weight models, optimize them to run efficiently on GPUs, and administer the platform as it grows.\nYour platform will power AI-native engineering and business use cases across client projects. You will work hands-on with GPU infrastructure and modern inference stacks, with room to explore new models, inference engines and hardware as the field evolves.\nCore skills you’ll bring\n5+ years of experience in platform engineering, DevOps, infrastructure, or ML infrastructure.\n\nHands-on experience deploying and serving open-weight models (e.g. Llama, Qwen, Mistral, Gemma) with inference engines such as vLLM, SGLang, Ollama/llama.cpp.\n\nPractical knowledge of inference optimization, such as quantization, batching and multi-GPU deployment, and matching models to available hardware.\n\nExperience with GPU infrastructure - NVIDIA drivers and CUDA, GPU scheduling on Kubernetes, and monitoring GPU utilization.\n\nExperience with on-premise infrastructure and at least one cloud provider (AWS, GCP or Azure), including their GPU and AI services.\n\nStrong Docker and Kubernetes skills and infrastructure as code (Terraform/OpenTofu).\n\nHands-on experience with at least one modern AI coding tool, such as Claude Code, Codex, Cursor or GitHub Copilot.\n\nFluent English.\n\nNice-to-have\nLLM gateways and routing (e.g. LiteLLM) and LLM observability.\n\nThe impact you'll create\nDesign and build on-premise and cloud environments for hosting LLMs.\n\nDeploy, serve and scale open-weight models behind standard APIs (e.g. OpenAI-compatible endpoints).\n\nOptimize models and serving configuration for throughput, latency and GPU cost, and benchmark the results.\n\nAdminister the platform: upgrades, capacity planning, access control, quotas and the model catalog.\n\nMonitor performance, GPU utilization, usage and cost.\n\nEvaluate new models, inference engines and hardware, and recommend what to adopt.\n\nSecure the environment, including isolating client data and controlling access.\n\nSupport engineering teams and AI agents that use the platform.\n\nPeople are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. 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