About SAI Group SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges. Senior Software Engineer, JazzX (New AI Venture at SAI Group) Role Overview: As a Senior Software Development Engineer, youll lead the design, development, and management of critical services and components of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. Youll mentor junior engineers, collaborate with cross-functional teams, and drive towards building a cutting-edge enterprise AI platform that remains state of the art. Design and Build: Craft and develop high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability. Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability. Contribute to the platforms technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. Collaboration: Work collaboratively within a cross-functional team (AI/research engineers, software engineers, architects, product managers, designers) to translate complex platform and product requirements into well-defined, scalable, and modular AI, software and infrastructure components. Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences. Provide mentorship and guidance to junior engineers, fostering their growth and development. Operational Excellence: Own the seamless integration of developed components into the platform, ensuring efficient operation and high availability. Implement robust monitoring and alerting strategies to proactively identify and troubleshoot potential issues. Champion DevOps practices streamlining the software development lifecycle and delivery process. Requirements Experience: Minimum of 5 years in designing, building, and operating cloud services, with proficiency in container and orchestration frameworks such as Docker and Kubernetes. Experience with common software defined infrastructure (infrastructure-as-code) frameworks to deploy and manage cloud environments. AI/ML/Data experience is strongly preferred. Development Lifecycle: Comprehensive hands-on experience in the full-stack development lifecycle, including design, prototyping, building, testing, deployment, and operations of enterprise platforms and products, preferably with AI/ML/data components. Technical Skills: Deep knowledge of essential software development skills and experience in more than 1 of the following languages: Java, JavaScript, Python, Golang, or C++. AI/ML Experience (Strongly Preferred): Prior experience in building and managing ML/AI platforms and services, including familiarity with MLOps lifecycle, frameworks, and tools. Familiarity with modern GenAI/LLM services, AI agent frameworks like LangChain, LlamaIndex is highly desired. Growth Mindset: A naturally curious attitude with a proactive approach to learning, experimenting, building, operating, and improving the development of a cutting-edge intelligent platform. Flexible, learn-it-all attitude, encouraging sharing and collaborative growth in an intense and fun work environment. Why Join Us At JazzX, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Design and Architect Scalable Solutions: Lead the design and development of high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability. Champion a cloud-first, cloud-agnostic approach to ensure platform versatility, scalability, and future-proof architecture. Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability. Contribute to the platforms technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. Collaborative Innovation: Foster a collaborative environment by working closely with cross-functional teams (AI/research engineers, software engineers, architects, product managers, and designers) to translate complex platform and product requirements into elegant, scalable, and modular AI, software and infrastructure components. Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences. Provide mentorship and guidance to junior engineers, fostering their growth and development. Driving Operational Excellence: Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners. Champion DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability. Requirements Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle: End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills: Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience: Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus

Architect Develop Core Systems: Lead the design and implementation of scalable, secure, and highly available enterprise cloud AI platform services and infrastructure. Drive the evolution of our microservices architecture to improve performance, resilience, and developer productivity. Technical Leadership Mentorship: Provide technical guidance and mentorship to engineers fostering a culture of continuous improvement and learning. Establish and enforce best practices, and development methodologies to ensure quality and maintainability of cutting-edge AI systems and solutions Cross-Functional Collaboration: Partner with other AI research and engineering teams, product and UX teams to translate business needs into efficient, reliable, and user-centric software solutions. Lead architectural reviews and contribute to roadmap planning, ensuring alignment with company goals and strategic initiatives. AI Innovation Exploration: Evaluate current and emerging AI technologies, frameworks, and tools to drive innovation and efficiency within the engineering organization. Experiment with and implement advanced AI/ML methods in collaboration with the AI research engineering team and help shape the technical strategy for the enterprise AI platform Quality, Security, Compliance: Advocate for best-in-class CI/CD, automated testing, observability, and security practices, leveraging AI Ensure compliance with industry standards, data privacy laws, and internal security policies. Qualifications Educational Background: Bachelor s or masters degree in Computer science, ML/AI, Software Engineering, or related field. Equivalent experience also considered. Technical Expertise: 12+ years of software development experience, with at least 3 years in a lead or principal engineering role. Proven track record building distributed, high-volume, low-latency systems using modern programming languages (e.g., Python, Go, Java, or C++). Strong understanding of cloud-native architectures, containers, and orchestration systems (e.g., Kubernetes) and familiarity with AWS, GCP, or Azure. Experience with SQL/NoSQL databases, streaming platforms (e.g., Kafka), and scalable storage solutions. Deep knowledge of microservices, RESTful APIs, GraphQL, and event-driven design patterns. AI/ML Data Skills: Deep expertise and experience building and leveraging machine learning workflows and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) in a platform to drive business critical products and solutions. Expertise and experience building platforms and applications with modern GenAI technologies, LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. in production environments. Soft Skills Leadership: Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders both within and outside the company. Strong problem-solving skills, attention to detail, and ability to drive projects from concept to completion. Demonstrated ability to lead and influence without direct authority, working effectively in a collaborative, fast-paced startup environment.

Team Leadership Lead, mentor, and coach a team of talented AI engineers to achieve their career goals and maximize their impact. Foster a culture of collaboration, inclusivity, and innovation. Establish and uphold engineering best practices and processes Technical Ownership Drive the design, architecture, and delivery of AI-based enterprise cloud systems and platforms. Collaborate with AI researchers, engineers, product managers, designers, and other stakeholders to align technical efforts with business objectives. Ensure high availability, scalability, and performance of JazzX AI s systems. Project Management Plan, prioritize, and manage technical projects, ensuring timely delivery of high-quality platforms and products Use Agile methodologies to organize sprints, retrospectives, and daily stan-ups. Own the quality and timelines of team execution, outputs and outcomes. Cross-Functional Collaboration Partner with research and other engineers, product management, and UX design to define and execute product roadmaps. Communicate effectively with stakeholders, translating technical goals into business outcomes. Recruitment and Team Growth Attract and hire top engineering talent to grow the team. Build and maintain a pipeline of future engineering leaders. Required Qualifications Experience: 12+ years of experience in software engineering with 4+ years in an engineering management role. Proven track record of leading teams to deliver scalable, production-grade enterprise software platforms and products. Experience with AI/ML platforms and distributed systems Technical Expertise: Proficiency in modern programming languages (e.g., Python, Java, Go, or similar). Strong knowledge of system design, architecture, and cloud-native technologies (e.g., AWS, Azure, or GCP). Familiarity managing AI/ML pipelines, data engineering, and MLOps best practices. Soft Skills: Exceptional leadership and team-building skills. Excellent communication and interpersonal skills with an ability to bridge technical and non-technical stakeholders. Adept at conflict resolution, feedback delivery, and fostering a positive team environment. Preferred Qualifications Experience in startups or building enterprise platforms and products from the ground up. Familiarity with Agile/Scrum methodologies. Hands-on experience with trade-offs in scaling AI systems and infrastructure. Understanding of compliance and security considerations in AI/ML implementations.

Lead Strategic Design Initiatives: Define and drive the UX vision across the product suite, ensuring alignment with business objectives and technical feasibility. Shape the Future of AI-Driven UX: Lead the charge in crafting user experiences that blend AI capabilities with human intuition, setting new standards for enterprise usability. Collaborate Across Functions: Partner with senior leaders in product, engineering, data science, and marketing to align user needs with business goals and market opportunities. Influence Product Strategy: Leverage user insights to inform strategic decisions and advocate for design-led thinking at all levels of the organization. Advance the Design System: Evolve and scale our enterprise design system to maintain a cohesive and scalable experience across diverse touchpoints. Prototype and Validate: Develop prototypes to test complex AI-driven concepts, gathering actionable feedback to refine product experiences. Drive Innovation: Identify and experiment with emerging design trends, interaction patterns, and AI advancements to create differentiated user experiences. Mentor and Inspire: Provide guidance and leadership to the design team, fostering a culture of excellence, creativity, and continuous learning. Advocate for the User: Champion the needs of enterprise users, ensuring that every design decision is rooted in usefulness and business impact. What We re Looking For 8+ Years of UX/UI Experience: Proven track record designing complex enterprise applications, with experience in AI/ML-driven products being a strong advantage. Strong Portfolio: A robust design portfolio demonstrating experience in simplifying complex workflows, creating scalable design solutions, and leading high-impact projects with positive results for users and businesses. Strategic Thinking and Execution: Ability to connect user needs with business goals and translate them into compelling and impactful design strategies. Mastery of Design Tools: Expertise in Figma, Adobe XD, and other modern design tools, with an in-depth understanding of accessibility and responsive design. Strong Cross-Functional Leadership: Excellent communication skills with a demonstrated ability to influence and align stakeholders at all levels of an organization. Systems Approach: Experience with leveraging and evolving design systems to ensure design consistency and efficiency of development. User Research Expertise: Experience in conducting user research, synthesizing insights, and applying them to design decisions that drive business outcomes. AI and Data-Driven Design: A keen interest in AI-driven products, with the ability to design experiences that leverage automation and predictive insights. Bonus Points If You Have: Experience leading design at a high-growth B2B SaaS or enterprise software company. Experience with conversational UI, chatbots, or AI-driven decision support systems.

Leadership Strategy: Define and execute a long-term vision for Jazzx.ai s technical documentation, ensuring consistency, accuracy, and discoverability across all product lines. Champion documentation best practices and establish team workflows and standards to drive efficiency and quality. Content Architecture Management: Develop and maintain the information architecture for a broad range of content, including API references, SDK guides, onboarding materials, tutorials, FAQs, and release notes. Ensure documentation reflects the latest product capabilities, updated continuously and accurately in step with agile development cycles. Oversee the integration of documentation assets into a scalable content management system (CMS) that supports versioning, localization, and continuous delivery. Cross-Functional Collaboration: Partner closely with engineering, product management, UX design, developer relations, and customer support teams to gather insights on user needs, emerging technologies, and product roadmaps. Advocate for the end-user perspective and ensure that content aligns with user personas ranging from business users, systems administrators, systems integrators (implementation engineers), and other relevant audiences. Participate in product planning meetings, sprint reviews, and design discussions to anticipate documentation needs early in the development process. Editorial Excellence Quality Assurance: Establish style guides, editorial standards, and voice and tone guidelines that reflect the Jazzx.ai brand and maintain a consistently high level of accuracy and clarity. Oversee peer reviews and editorial cycles to ensure that all published materials are error-free, well-organized, and meet usability standards. Continuously improve the quality and relevance of documentation based on stakeholder feedback, usability tests, and analytics. Innovation Continuous Improvement: Stay current with industry trends, documentation tools, and emerging technologies that can enhance the user experience and streamline internal processes. Introduce and refine documentation workflows that leverage automation, AI-driven content generation, and analytics to predict content gaps and measure content effectiveness. Actively seek user feedback (e.g., from forums, surveys, and partner discussions) to identify areas of improvement and drive iterative enhancements to the content library. Qualifications Experience: Education Background: Bachelor s degree in Technical Communication, Computer Science, English, Journalism, or a related field. An advanced degree or specialized training in AI, ML, or related domains is a plus. Technical Expertise: 5+ years of technical writing or technical content management experience, ideally within the software industry. Prior experience in a senior or lead role managing documentation teams and complex content portfolios. Solid understanding of software development processes, APIs, SDKs, and developer tooling. Experience with AI/ML technologies is highly desirable. Tools Systems: Proficiency with industry-standard documentation tools, content management systems (e.g., MadCap Flare, DITA-based CCMS, Confluence), and version control systems (e.g., Git). Familiarity with markup languages (Markdown, reStructuredText), doc-as-code workflows, and automated testing/deployment pipelines for documentation. Soft Skills: Exceptional written and verbal communication skills, with the ability to break down complex concepts into accessible, structured, and developer-friendly content. Strong leadership qualities: ability to mentor team members, resolve conflicts, and champion change management. Excellent project management skills, including the ability to prioritize multiple initiatives, meet deadlines, and adapt to evolving business needs.

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.

Conduct Market and Industry Research to help formulate GTM Strategy Research industry and dynamics in the industry. Build deep expertise in target sectors for JazzX time. Create a deep understanding of processes, roles, pain points etc. Keep track of emerging trends and priorities in the industry so that can be weaved into the solutions. Collaborate with Field Sales to identify and address growth opportunities Closely collaborate with Field Sales team to define target clients and stakeholders. Create and nurture pipeline Extensively research stakeholders, companies and identify potential opportunities to address the market Identify use cases for JazzX deployment, craft value propositions and collaborate with sales team in running outreach campaigns. Collaborate with Alliances team to identify Go-to-Market channels. Define win-win value propositions to take to partners. Work with Marketing to create content and run Account Based Marketing (ABM) campaigns Craft and Present Winning Proposals and Solutions Define strategy for proactive winning proposals. Define value proposition for customers to highlight the transformative impact of JazzX Work with UX team to build demos that bring to life the value proposition Demonstrate how JazzX s capabilities Anticipate client apprehensions and address those proactively in the proposal Participate in Value Discovery exercise and Define Value Model Create deployment roadmap and success blueprint for client Work with Field sales to create commercial model that allows value capture in proportion to the value delivered Build and Present Value Models Build understanding of value pools we will address through JazzX Identify key metrics and estimate value impact Baseline ( As-is ) and estimate to-be . Present the model to client to get their sign-off Work with client to regularly measure the KPIs and value generated through JazzX Support Client Deployments and Expansions Participate in client deployment sessions, understand pain points, work with Delivery and Success teams to address the pain points Help with Knowledge Capture, including non-propriety industry practices, processes etc to create a Body of Knowledge for use in proposals and expansion Work with sales and success teams in creating an expansion plan. Support in the expansion process Requirements Experience (2-4 for Associates, 10-15 for Directors) in one of the following Research role in a Tier 1 consulting companies; Associated with Banking/FS practice Experience in Solutions/Sales/Pre-sales at one of the Operations teams in US/European Banks or BPO organizations Understanding of any of the following industries/domains is a strong plus Corporate Lending (e.g., SMB, Mid-Market, Asset backed Finance) Mortgage Industry Asset Management Understanding of underwriting processes or due-diligence process in a bank lending operation Regulatory compliance and reporting Understanding of any of the activities (Origination, Underwriting, Serving etc) Understanding of latest developments in AI Education: MBA from a Tier 1 college Engineering degree in Computer science would be a plus, though not necessary Traits A can-do mindset towards outcomes - Fast leaner, can network, research and find solutions Very strong analytical skills Strong Powerpoint presentation stills Education: MBA or post-graduate Accounting degree from a Tier 1 college Engineering degree in Computer science would be a plus Certified Credit Analyst at Indian Institute of Banking Financ