{"id":4339000,"url":"https://alion.io/job/quantum-technologies-llc-sr-gen-ai-engineer","title":"SR GEN AI Engineer","company":{"id":4050703,"name":"Quantum Technologies LLC","domain":"quantumtech.io","url":"https://alion.io/company/quantumtech-io","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":87,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":174000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWQ","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GPTQ","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Helm","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"Splunk","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Terraform","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-11-12T14:28:51Z","employer_posted_date":null,"last_verified_at":"2026-11-12T14:28:51Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Title: SR GEN AI Engineer\nLocation: Chicago ,IL \nDuration: 12 Months + Extension\nBill Rate: $87/hour\nJob Type: W-2 Contract\nClient: To Be Discussed Later\nWork Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD\nPOSITION OVERVIEW :\nJob DescriptionWe are looking for an experienced Software Engineer with strong expertise in Machine Learning, Large Language Models (LLMs), and AI infrastructure. The candidate will be responsible for designing, developing, deploying, and optimizing production-grade LLM inference services that power Generative AI applications.\nThe ideal candidate should have hands-on experience in model serving, inference optimization, GPU computing, and scalable Kubernetes-based infrastructure.\nKey ResponsibilitiesDesign, develop, deploy, and maintain scalable LLM inference services.\nOptimize model serving performance, latency, throughput, and infrastructure costs.\nWork on inference optimization techniques such as Quantization (INT8/INT4, FP8, AWQ, GPTQ), KV-cache management, Paged Attention, and Prefix Caching.\nImplement and optimize model serving using TensorRT-LLM, vLLM, SGLang, or Triton Inference Server.\nWork with PyTorch and the Hugging Face ecosystem.\nDeploy and manage AI workloads using Kubernetes, Docker, and GPU scheduling.\nBuild integrations with external LLM APIs and internal orchestration frameworks.\nImplement monitoring, logging, tracing, and observability using Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry.\nDevelop model evaluation and regression testing pipelines.\nWork with RAG pipelines and vector databases.\nPerform GPU workload cost optimization and capacity planning.\nMaintain CI/CD pipelines and Infrastructure as Code.\nPrepare technical documentation, design documents, and benchmark reports.\nRequired Skills5+ years of overall Software Engineering experience.\nMinimum 2+ years of hands-on experience working with ML/LLM systems in production.\nStrong programming skills in Python.\nWorking knowledge of Go, C++, or Rust.\nExperience with TensorRT-LLM, vLLM, SGLang, or Triton Inference Server.\nStrong understanding of LLM inference optimization and GPU performance tuning.\nExperience with PyTorch and Hugging Face.\nHands-on experience with Kubernetes, Docker, and NVIDIA GPU infrastructure.\nKnowledge of REST APIs, gRPC, and distributed systems.\nExperience with model evaluation, performance profiling, and benchmarking.\nUnderstanding of CI/CD and Infrastructure as Code tools such as Terraform and Helm.\nEqual Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. 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