Job
Description
As a Senior Staff Engineer at JazzX.ai, you will operate as a strategic technical leader driving platform architecture, guiding critical projects, and influencing product direction. Y ou will serve as a hands-on contributor, provide technical mentorship across teams, and partner with senior stakeholders to ensure our solutions are innovative, robust, and aligned with the company s long-term vision. You will also be instrumental in fostering a high-performance engineering culture that emphasizes collaboration, excellence, and continuous improvement. Key Responsibilities Technical Leadership Architecture Define and evolve JazzX.ai s technical strategy, ensuring our AI-driven systems can scale and adapt to future challenges. Own the end-to-end architecture for key platform components, ensuring high levels of reliability, security, and performance. Evaluate emerging technologies, tools, and frameworks, making data-driven recommendations that influence company-wide engineering decisions. Project Execution Cross-Functional Collaboration Lead complex, high-impact engineering initiatives that require coordination across multiple product and infrastructure teams. Collaborate with Product Management, AI research engineering, , and UX to scope technical requirements and deliver solutions that align with business objectives. Serve as a trusted advisor to senior stakeholders, clearly communicating technical roadmaps, trade-offs, and risks. Mentorship Team Development Guide and mentor engineers at all levels, from early-career to senior staff, providing technical direction and career development support. Champion best practices in code quality, architecture reviews, testing, and documentation. Foster an inclusive and innovative engineering culture, encouraging knowledge-sharing and continuous learning. Innovation AI Integration Partner with the AI research engineering team team to design and implement modern AI frameworks and capabilities as production services in the platform Drive the exploration and adoption of state-of-the-art AI/ML technologies to keep JazzX.ai ahead of industry trends. Identify strategic opportunities where AI can deliver enhanced functionality or novel capabilities for our platform. Operational Excellence Define and enforce SLAs for mission-critical services, ensuring minimal downtime and fast recovery. Champion DevOps best practices around CI/CD, cloud infrastructure, observability, and security. Collaborate with Site Reliability Engineers (SREs) and Security teams to optimize performance and maintain compliance with industry standards. Qualifications Educational Background Bachelor s or Master s in Computer Science, Engineering, or a related field; or equivalent experience. Experience Technical Expertise 10-12+ years of professional software engineering experience, with at least 5 years in technical leadership roles (Principal, Staff, or equivalent). Proven track record leading complex, large-scale projects across distributed systems, backend architecture, or cloud platforms. Deep expertise in at least one or more programming languages (e.g., Python, Java, Javascript, Go, C++), with a willingness to learn new technologies. Strong understanding of microservices, event-driven architectures, and container orchestration tools (Kubernetes, Docker). Experience with large-scale data processing, streaming platforms (e.g., Kafka), and databases (both SQL and NoSQL). Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and operationalizing machine learning solutions is a plus. AI/ML Experience: Demonstrated experience in designing, building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Hands on experience with MLOps practices, frameworks (TensorFlow, PyTorch), and tools. Experience building platforms and applications with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus Leadership Soft Skills Exceptional communication and presentation skills, with the ability to influence technical and non-technical stakeholders at executive levels. Proven ability to mentor, coach, and inspire engineers, build high-performing teams and a culture of engineering excellence. Experience navigating ambiguous requirements and delivering results in a fast-paced, startup environment. Demonstrated thought leadership in architectural design, code quality, and technical strategy.
