{"id":3490714,"url":"https://alion.io/job/maisa-ai-software-engineer-llmops","title":"Software Engineer (LLMOps)","company":{"id":63281,"name":"Maisa AI","domain":"maisa.ai","url":"https://alion.io/company/maisa-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Kula","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":101000,"period":"year","method":"role_country_seniority_unknown","sample_n":946},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SGLang","optional":false},{"name":"Terraform","optional":false},{"name":"vLLM","optional":false},{"name":"Grafana","optional":true},{"name":"Langfuse","optional":true},{"name":"LiteLLM","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-29T21:50:08Z","employer_posted_date":null,"last_verified_at":"2026-10-29T21:50:08Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"What you will do\n\nBuild and optimise LLM serving infrastructure using technologies such as vLLM, SGLang, or equivalent inference engines.\n\nManage GPU infrastructure, including orchestration, scaling, load balancing, capacity planning, and high availability.\n\nOptimise inference performance and costs through batching, quantisation, caching, and GPU utilisation improvements.\n\nBuild monitoring and observability for model serving, covering infrastructure health, latency, errors, and model output degradation.\n\nSupport enterprise deployments into on-premise, private, and air-gapped environments, ensuring security and reliability.\n\nDevelop model governance infrastructure, including model registries, versioning, LLM gateways, logging, and auditing.\n\nBuild and maintain CI/CD pipelines and infrastructure-as-code for automated, reliable model deployments.\n\nTroubleshoot production issues and collaborate with Applied AI, Foundational AI, and SRE/Platform teams.\n\nWhat We're Looking For\nStrong background in Infrastructure Engineering, Platform Engineering, MLOps, or LLMOps, with experience running ML/LLM workloads in production.\n\nHands-on experience with LLM serving technologies such as vLLM, SGLang, or similar.\n\nPractical knowledge of GPU infrastructure, orchestration, scaling, and inference optimisation.\n\nStrong production experience with Kubernetes, Docker, Terraform, and CI/CD.\n\nProficiency in Python and/or Go.\n\nExperience with monitoring, observability, and troubleshooting production systems.\n\nUnderstanding of inference cost, latency, throughput, and performance trade-offs.\n\nStrong ownership mindset and ability to collaborate across engineering teams.\n\nNice to Have\nExperience with on-premise, air-gapped, or regulated enterprise environments.\n\nFamiliarity with LiteLLM, Langfuse, Prometheus, Grafana, or similar tools.\n\nExperience with model registries, prompt versioning, and LLM governance.\n\nKnowledge of distributed inference and advanced GPU optimisation.\n\nWhy Join Maisa?\nWork on cutting-edge enterprise AI with real-world applications and major enterprise customers.\n\nSolve challenging engineering problems involving GPU infrastructure, inference performance, and secure deployments.\n\nTake ownership and make an impact on the architecture, reliability, and cost-efficiency of our AI platform.\n\nCollaborate with talented AI and engineering teams in a fast-growing, ambitious company.\n\nRemote when you want flexibility. 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