{"id":108510,"url":"https://alion.io/job/f5-ai-inference-engineer","title":"SIte Reliability Engineer, AI Inference","company":{"id":5759,"name":"F5","domain":"f5.com","url":"https://alion.io/company/ffive","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":19,"ghost_share":0,"stale_share":0.789,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-16T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":176000,"period":"year","method":"role_country_seniority_unknown","sample_n":41},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"llama.cpp","optional":false},{"name":"Ollama","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"TensorRT","optional":false},{"name":"TGI","optional":false},{"name":"TPU","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"Speculative Decoding","optional":true}],"status":"live","first_seen_at":"2026-04-16T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-16T22:55:27Z","board_verified":true,"closed_at":null,"days_open":183,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":183},"description":"At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. \nEverything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.\nTheAI Inference Engineer plays a critical role in the AI lifecycle by bridging the gap between high-performance model development and optimized deployment environments. This position focuses onoptimizing Large Language Models (LLMs) for inference, serving diverse environments-from GPU-rich data centers to resource-constrained edge devices-with a strong emphasis on maximizing throughput, minimizing latency, andmaintainingmodel accuracy.\nThis role is pivotal in advancing F5’s AI capabilities, ensuring enterprise-grade reliability byleveraginghardware acceleration, designing scalable infrastructure, andmonitoringsystem performance.\nKey Responsibilities\nHigh-Performance AI Serving\nBuild andmaintainrobust inference engines using tools likevLLM, TGI (Text Generation Inference), andNVIDIA Triton, ensuring high performance at scale.\n\nHandle deployment optimizations to deliver low-latency AI serving solutions for multiple business applications.\n\nHardware Acceleration and Optimization\nProfile andoptimizemodels for specialized hardware backends, including NVIDIA GPUs (CUDA/TensorRT), Apple Silicon (CoreML), and AI accelerators likeTPUs andLPUs.\n\nCollaborate with hardware teams to maximizeutilizationand performance across various computational environments.\n\nInference Orchestration and Scalability\nDesign and implement auto-scaling architectures for online (real-time) and batch inference pipelines,leveragingKubernetes for inference routing and orchestration.\n\nEnsure software solutions areoptimizedfor peak performance during traffic spikes,maintainingreliability and scalability.\n\nPerformance Monitoring and Observability\nEstablish robust observability frameworks tomonitor Time to First Token (TTFT), tokens per second, and memory bandwidthutilizationagainst service-level agreements (SLAs).\n\nBuild and executeperformance and load testing suites toidentifybottlenecks and ensure consistent reliability at scale.\n\nTechnical Requirements\nRequired Skills:\nProgramming Languages: Proficiencyin programming languages such asPython,C++,Rust, orGolang specifically for high-performance AI workflows.\n\nInference Tools: Proven hands-on experience with tools likevLLM,TensorRT,Llama.cpp, andOllama for inference development and optimization.\n\nInfrastructure Expertise: Strong familiarity with infrastructure technologies, includingDocker,Kubernetes, and cloud platforms such asAWS,GCP, andAzure.\n\nHardware Optimization Expertise: Comprehensive understanding of GPU and AI hardware, including techniques for profiling andoptimizingperformance for accelerators like NVIDIA GPUs and TPUs.\n\nPreferred Experience:\nPrior experience deploying Large Language Models (LLMs) with advanced techniques likeSpeculative Decoding orPagedAttention.\n\nContributions to open-source inference libraries or hardware-level kernel development (e.g., CUDA, Triton kernels).\n\nBackground inMLOps orSRE roles focused onhigh-performance AI endpoints and reliability during demand surges.\n\nProficiencyin designing scalable solutions for high-throughput inference environmentsoptimizedfor traffic bursts.\n\nSuccess Metrics (KPIs):\nLatency Reduction: Continuously improve inference latency metrics, ensuring minimal Time to First Token (TTFT) andmaximumtokens per second.\n\nCost Efficiency: Achieve lower \"Cost per 1K Tokens\" through better resourceutilizationand hardware optimization.\n\nScalability: Maintainsystem stability and reliability duringtraffic spikes, ensuring performance consistency across environments.\n\nThroughput Maximization: Deploy modelsoptimizedfor peak hardware usage and maximized process throughput.\n\nWhy Join F5?\nF5 empowers you to push boundaries inAI optimization andhigh-performance engineering. Joining our team means:\nCollaborating withcutting-edgetechnologies and hardware solutions to support real-time AI applications.\n\nAdvancing your career in a fast-paced, multidisciplinary environment focused on innovation, scalability, and problem-solving.\n\nDriving transformative projects that deliver real-time AI reliability to global customers whilemaintainingcost and efficiency standards.\n\nWorking on advancedMLOpssolutions that seamlessly scale enterprise AI systems and shape the future of intelligent deployment.\n\nWhat Success Looks Like:\nAs anAI Inference Engineer at F5, success is measured by your ability to:\nCombine technicalexpertiseand problem-solving skills to deliver low-latency, scalable, and high-performing AI prediction systems.\n\nCollaborate efficiently across cross-functional teams,participatingin knowledge sharing and system refinement.\n\nDemonstrate initiative by driving optimizations across hardware, tools, and orchestration processes, balancing immediate solutions with long-term architectural goals.\n\nTranslatecomplex AI and inference workflows into practical solutions that align with F5's strategicobjectives.\n\nThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.\nPlease note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com ).\nEqual Employment Opportunity\nIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. 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