Senior Staff AI Engineer

Job Title: Senior Staff AI Engineer Company: JazzX AI Job Category: Machine Learning Roles & Responsibilities: About the Role You will lead the design, development, and optimization of cutting\-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi\-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross\-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high\-throughput training and real\-world scenarios and enterprise use cases end to end. Key Responsibilities * Architecture \& Design: Define and drive the end\-to\-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving. * Research \& Development: Apply cutting\-edge RL techniques (policy optimization, model\-based RL, hierarchical RL, multi\-agent RL, etc) to solve complex enterprise problems. * Scalability \& Infrastructure: Design distributed training systems, leverage cloud\-native infrastructure, and optimize for performance, reproducibility, and cost\-efficiency. * Leadership \& Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. * Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. * Evaluation \& Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback\-driven improvements in deployed RL models. * Compliance \& Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. If you're motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact. Work Location: Bengaluru, India Availability: Full time

Required Qualifications * 10\+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems. * Demonstrated success in designing and deploying large\-scale RL architectures in enterprise environments. * Deep expertise in reinforcement learning algorithms, including on\-policy (PPO, A3C) and off\-policy (SAC, DDPG) methods, along with hands\-on work in simulation frameworks (e.g., OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo). * Practical experience with multi\-agent reinforcement learning (MARL), including coordination strategies for complex environments. * Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR) and GRPO\-like policy optimization approaches, applying reinforcement learning principles both rigorously and pragmatically. * Experience with test\-time compute optimization techniques, including inference\-time search, chain\-of\-thought reasoning, and adaptive computation strategies for improving model performance during deployment. * Proven ability in large language model (LLM) training and fine\-tuning, across both supervised and reinforcement learning–driven techniques. * Advanced software engineering skills in Python, C\+\+, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib. * Hands\-on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms). * Excellent communication, collaboration, and leadership skills, with experience working across multidisciplinary teams. Preferred Qualifications We offer a competitive salary ranging from USD 207,000 to USD 290,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: INR 207000 - 290000 per yearly