Senior AI Engineer

Location: Hyderabad/Bangalore/SingaporeAbout BugRaid.AIIncidents are the silent killers of modern enterprises. Every minute of downtime means lost revenue, lost trust, and engineers under fire.BugRaid.AI is building theworld’s first enterprise-ready incident copilot— intelligent, agentic systems that candetect, diagnose, and resolve complex production incidentsacross massive streams of logs, metrics, traces, and alerts.Our vision:autonomous reliability for enterprise infrastructure . ThinkAIOps meets generative AI , but designed from day one forsecurity, scale, and production readiness .Role OverviewWe are seeking aSenior AI EngineerorResearch Scientistw ith practical experiencein developing and deploying AI/ML systems at scale. Your contributions will drive BugRaid.AI’s agentic intelligence, allowing our platform to conductroot cause analysis (RCA)and automated remediation in demanding enterprise settings.This position bridgesAI research and production engineering . You will experiment with LLMs, reinforcement learning, and synthetic data, and also implement these concepts intoenterprise-grade, scalable, and dependable systems .ResponsibilitiesEnterprise-Ready AI Development:Design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.LLM & Agent Research:Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.Training & Alignment:Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns withreal SRE workflows,thereby avoiding reliance on toy datasets.Synthetic Data Generation:Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.Cross-Team Collaboration:Collaborate closely withinfrastructure engineers, SREs, and product leadersto incorporate AI research into the BugRaid.AI platform.Production Excellence:Design systems with built-inobservability, monitoring, and CI/CDprocesses, ensuringfailover, rollback, and resilience capabilities .Frontier Tracking:Keep up with the latest research in LLMs, agentic AI, and reliability, and incorporate these innovations into enterprise production environments.Requirements5+ years of production experiencebuilding and deploying ML/AI systems at scale.PhD or Master’s inComputer Science, Machine Learning, or related fields(or equivalent experience).Strong foundation indeep learning, reinforcement learning, or robotics .Hands-on experience withLLM fine-tuning, RLHF, or synthetic data generation .Proven track record of shippingAI systems into production(not just research prototypes).Experience withcloud-native architectures (AWS/Azure/GCP) ,Kubernetes , andMLOps tooling (SageMaker, MLflow, Ray, Kubeflow) .Comfort working withlarge-scale data streams(Kinesis, Kafka, Flink) and vector databases (OpenSearch, Pinecone, Weaviate).Strong collaboration skills and ability to communicate acrossresearch, engineering, and product teams .Nice to HaveBackground inobservability (logs, metrics, traces)or large-scale production debugging.Experience designingsecure AI systems(data privacy, zero-data egress, compliance frameworks like HIPAA/FedRAMP).Contributions toopen-source agent frameworks(LangChain, LlamaIndex, Haystack, Ray Serve).Experience withreal-time ML serving(low-latency inference, batch + streaming pipelines).Prior experience inenterprise SaaSor reliability-focused products.Why Join BugRaid.AIWork onhigh-impact AI challengesthat sit at the intersection ofAI, DevOps, and enterprise reliability .Shape thecore intelligence layerof a product designed to beenterprise-ready from day one .Collaborate with aworld-class founding teamexperienced in AI, DevOps, and large-scale systems.Competitive compensation,equity (ESOPs) , and a chance to join at anearly stagewith an outsized impact.A culture that valuesresearch rigor, engineering excellence, and execution speed .