Python Fullstack Engineer

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth.

Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026.

We are seeking a highly experienced Python Fullstack Engineer with expertise in Agentic AI, Azure, and Dev Ops to join our AI-enabled platform engineering team. This role is ideal for a senior hands-on engineer who can design, build, and scale modern enterprise applications while leveraging AI-assisted engineering practices to accelerate delivery and innovation. As the senior-most individual contributor, you will be responsible for architecting and developing end-to-end solutions across frontend, backend, cloud, and Dev Ops layers.

You will play a key role in consolidating complex business workflows into a centralized, scalable platform that supports collaboration, automation, analytics, and AI-driven decision-making.

• Location:
  New York OR New Jersey
• Experience: 10 to 15 Years
• Job Type: Full Time Employment

• Engineer and build the end-to-end full stack platform that unifies fragmented workflows into a centralized, scalable, and AI-enabled application experience with Python, Fast API, Django.
• Design and implement frontend and backend components, including application shell, UI layers, APIs, and supporting services, ensuring performance, scalability, and production readiness.
• Develop and integrate workflow-driven modules such as collaboration interfaces, structured evaluation forms, and exportable artifacts for downstream usage and reuse.
• Build and manage integrations with enterprise systems, data pipelines, analytics platforms, and external data artifacts, enabling seamless interaction across structured and unstructured data sources.
• Design and implement systems that support AI-assisted workflows, enabling enriched user interactions, intelligent recommendations, and data-driven decision-making capabilities.
• Leverage Claude AI extensively as an engineering productivity accelerator?driving faster GTM through rapid prototyping, full stack development, debugging, and system design acceleration.
• Establish and scale Claude-driven development practices to enhance developer productivity, reduce delivery cycles, and improve code quality across the engineering lifecycle.
• Own full stack technical design and architecture, translating product and workflow requirements into robust, scalable, and maintainable implementations.
• Operate as a highly hands-on individual contributor, actively participating in coding, design reviews, and day-to-day engineering execution within an embedded team model.
• Ensure high engineering standards across the stack, including code quality, modular architecture, testing rigor, usability, and long-term maintainability.
• Drive execution discipline and delivery outcomes, ensuring the platform is production-grade, scalable, and aligned with rapid iteration needs enabled by AI-assisted development.

• 10+ years of software engineering experience, including 5+ years / Senior IC level building large-scale full stack platforms in enterprise environments.
• Deep expertise in backend development using Python, fast API, Django for building high-performance, enterprise-grade systems.
• Hands-on experience…