Staff Backend Engineer (AI)

📋 Description

• • Join Tide Platform Limited as a Staff Backend Engineer (AI) and be at the vanguard of the AI revolution, contributing to cutting-edge projects that are actively shaping the future of financial services for small and medium-sized enterprises (SMEs).
• • You will become an integral part of a highly motivated and collaborative team dedicated to building robust, scalable, and impactful products that address real-world business challenges.
• • This role is pivotal in bridging sophisticated backend systems with the transformative power of Generative AI, requiring you to architect and implement the foundational frameworks, standards, and platforms that enable AI capabilities to scale securely, reliably, and efficiently across the entire enterprise.
• • Your responsibilities will extend beyond typical feature delivery, focusing on influencing the long-term technical direction and strategic vision for AI integration within Tide's offerings.
• • As a Staff Engineer, you will embody Technical Leadership & Strategy, acting as a System Architect with a proven history of designing, building, and operating enterprise-scale distributed systems. You will consistently think in terms of long-term scalability, maintainability, and operational efficiency.
• • You will demonstrate Strategic Execution by expertly managing multiple high-priority initiatives, adeptly balancing the imperative to "build it right" with the need to "build it fast." Your ability to translate ambiguous business objectives into concrete, actionable technical roadmaps will be crucial.
• • You will foster Cross-Functional Influence by serving as a key technical partner to product managers, designers, and non-engineering stakeholders, ensuring that our AI initiatives deliver tangible and significant business value.
• • In Generative AI & Machine Learning Excellence, you will leverage your experience in deploying production-grade Generative AI systems, specifically focusing on Retrieval-Augmented Generation (RAG) and Agentic workflows (e.g., LangGraph) in live production environments.
• • You will champion Evaluation, Monitoring, and Optimization, understanding that the efficacy of GenAI hinges on rigorous assessment. You will be familiar with methodologies for quantifying and tracking output quality (e.g., via RAGAS) and optimizing for critical performance metrics such as latency and cost.
• • Your deep understanding of the End-to-End AI/ML lifecycle, from meticulous data curation and efficient vector database indexing to robust model monitoring and the implementation of effective guardrails, will be essential for success.
• • Your Backend Engineering Mastery will be showcased through your expertise as a seasoned Python developer, possessing a profound understanding of its ecosystem, asynchronous programming paradigms, and advanced performance tuning techniques.
• • You will be proficient in Infrastructure as Code, comfortable operating within cloud-native environments (AWS/GCP), and adept at utilizing tools like Docker, Kubernetes, and GitHub Actions to establish seamless and automated CI/CD pipelines.
• • Your Data Architecture skills will be vital, demonstrating a solid foundation in both relational databases and modern data warehouses such as BigQuery, with a specific focus on their integration and synergy with AI/ML workloads.
• • In terms of Mindset & Mentorship, you will act as a Force Multiplier, deriving satisfaction from mentoring senior and mid-level engineers, conducting high-impact code reviews, and consistently elevating the standard of engineering excellence across the team.
• • You will embody the Pragmatic Innovator spirit, maintaining a keen passion for the latest AI trends while remaining grounded in the practical application of solving real-world problems with the most effective, and sometimes simplest, technological solutions.
• • This role offers the unique opportunity to contribute to a rapidly growing fintech company that is transforming the small business banking market globally, with over 1.8 million members and a significant funding history.
• • You will work with a diverse and inclusive team, contributing to products that empower SMEs by saving them time and money, allowing them to focus on their core business activities.
• • The position is based in Delhi NCR, India, and offers a flexible workplace model that supports both in-person collaboration and remote work, fostering a strong sense of community and innovation.
• • You will be instrumental in developing and scaling AI-driven features that enhance the user experience and operational efficiency for Tide's extensive member base.
• • This is a strategic role where your technical decisions will have a direct and lasting impact on the company's technological trajectory and product development roadmap.
• • You will collaborate closely with cross-functional teams to ensure the seamless integration of AI capabilities into Tide's core banking and administrative solutions.
• • The role demands a proactive approach to identifying opportunities for AI to solve complex business problems and improve member satisfaction.
• • You will be responsible for setting technical standards and best practices for AI development and deployment within the engineering organization.
• • Contribute to the architectural design of scalable, resilient, and secure backend services that power Tide's AI initiatives.
• • Drive innovation by exploring and implementing new AI technologies and methodologies relevant to the fintech domain.
• • Ensure the ethical and responsible development and deployment of AI systems, adhering to industry best practices and regulatory requirements.
• • Mentor and guide junior engineers, fostering a culture of continuous learning and technical growth within the team.
• • Participate in the full software development lifecycle, from conception and design to deployment and maintenance, with a strong emphasis on AI integration.
• • Develop and maintain comprehensive documentation for AI systems, frameworks, and processes.
• • Collaborate with data scientists and ML engineers to operationalize models and integrate them into production systems.
• • Optimize AI models and infrastructure for performance, cost-efficiency, and scalability.
• • Stay abreast of the latest advancements in AI, backend engineering, and cloud technologies, and apply this knowledge to improve Tide's products and services.
• • Contribute to the strategic planning and technical roadmap for AI development at Tide.
• • Ensure the security and compliance of AI systems and data handling processes.
• • Drive the adoption of best practices in software engineering, including testing, code reviews, and CI/CD, within the AI engineering domain.
• • Play a key role in defining and implementing the technical vision for AI at Tide, ensuring alignment with business goals and member needs.