Senior Software Engineer, Inference Platform

About AionAion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform.We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters.We're a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we're building the next generation of enterprise AI and we're looking for exceptional people to help us scale.Who You AreYou're a seasoned engineer who has built and scaled high-performance inference systems for AI/ML workloads. . You understand the complexities of serving models at scale latency optimization, resource orchestration, autoscaling dynamics, and production reliability. You've designed distributed systems that handle thousands of requests per second while maintaining sub-second response times and cost efficiency.Experience with Golang is strongly preferred, and exposure to inference engines (vLLM, TGI, TensorRT), containerization, and distributed systems is an added bonus. You take ownership of platform-level decisions, think strategically about performance vs. cost trade-offs, and want your work to power AI inference for thousands of developers globally.You're product-minded, you understand how your technical decisions impact developers using aion's platform and think about the end-to-end user experience. You're a team player comfortable wearing multiple hats one day you're optimizing inference latency, the next you're joining customer calls to understand their deployment challenges, and the day after you're helping with UI/UX, customer success, documentation and product ops.What You'll DoInference Platform Architecture & Core ServicesDesign and build aion's inference service platform the backbone for serving AI models at scale across diverse workloadsOwn and architect core platform components: AI Gateway, Resource Orchestrator, Runtime Engines, and AutoscalerDesign highly modular, scalable, and extensible low-level designs (LLDs) for inference infrastructure componentsLead high-level design discussions, establish architectural patterns, and drive technical decision-making for the inference stackModel Deployment & Lifecycle ManagementUnderstand and optimize the dynamics of model deployment, version upgrades, and rollback strategiesBuild robust deployment pipelines for seamless model updates with zero-downtime deploymentsDesign intelligent routing systems for multi-model serving, A/B testing, and canary deploymentsImplement strategies for efficient GPU utilization and model cold-start optimizationPerformance & Distributed SystemsImplement highly performant and optimized software for low-latency, high-throughput inference servingBuild and debug production-grade code in distributed systems handling real-time AI workloadsOptimize inference pipelines for latency, throughput, batching efficiency, and resource utilizationDesign fault-tolerant systems with graceful degradation and automatic recovery mechanismsObservability & Engineering ExcellenceBuild high-performance telemetry and observability stack for inference metrics, performance tracking, and debuggingImplement comprehensive monitoring for model latency, throughput, error rates, GPU utilization, and cost per inferenceConduct thorough code reviews to maintain code quality, performance standards, and architectural consistencyEstablish engineering best practices for testing, documentation, and production readiness. RequirementsTechnical Skills & Experience4+ years of experience building and scaling backend systems, distributed platforms, or inference infrastructureStrong understanding of AI/ML inference systems and experience with inference engines (vLLM, TGI, TensorRT-LLM, or similar)Deep knowledge of distributed systems design, microservices architecture, and API gateway patternsProficiency in Golang strongly preferred; Python, Rust, C++ for performance-critical components a plusExperience with container orchestration (Kubernetes, Docker) and infrastructure-as-codeSolid understanding of autoscaling strategies, load balancing, and resource scheduling algorithmsExperience building high-throughput, low-latency systems with sub-100ms response time requirementsFamiliarity with message queues (Kafka, RabbitMQ), databases (PostgreSQL, Redis), and event-driven architecturesKnowledge of GPU computing, model serving optimizations (batching, quantization, multi-tenancy), and resource allocationExperience with observability tools (Prometheus, Grafana, OpenTelemetry) and distributed tracingUnderstanding of API design, rate limiting, authentication/authorization, and security best practicesExposure to AI model deployment workflows and model lifecycle management is highly desirableBonus/ Good to HaveHPC & Cluster Management: Experience handling large-scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestrationData Engineering: Expertise with data pipelines, ETL systems, and large-scale data processing frameworksSystems-Level Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm-d, system agents)ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine-tuning workflows, and Jupyter notebook orchestration systemsEnterprise Deployment: Experience platformizing and packaging software for on-premises deployments or customer VPC installatiaons with emphasis on security, compliance, and operational simplicityBenefitsPreferred Attributes:High ownership, self driven and biased for actionStrong strategic thinking and ability to connect technical decisions to business impactExcellent communication and mentoring skillsThrives in ambiguity, fast-paced environments, and early-stage startup cultureWhy Join aion?Work directly with high-pedigree founders shaping technical and product strategyBuild infrastructure powering the future of AI computers globallySignificant ownership and impact with equity reflective of your contributionsCompetitive compensation, flexible work options, and wellness benefits