Engineering Manager

Location: Mumbai (In-Office) Experience: 6+ years in software engineering, including use of AI-assisted development tools Type: Full-time About Wright Research Wright Research is a tech-first wealth creation firm using scientific, data-driven methods to generate alpha in public markets. We deliver differentiated portfolios through PMS and digital advisory, blending quantitative finance with modern software engineering and AI-driven innovation. Role Overview We are looking for an Engineering Manager who is not only an expert developer but also embraces the next frontier of software engineering—AI-assisted coding . You’ll lead the development of our fintech and investment platforms while leveraging the latest AI tools to supercharge productivity, accelerate development, and improve code quality. This role is hands-on and ideal for someone who thrives at the intersection of engineering excellence and AI-augmented development workflows . Key Responsibilities Full-Stack Engineering: Develop and maintain scalable backend systems (Python/Django) and frontend interfaces (React/React Native) Work on APIs, dashboards, and data apps that power investment research and user engagement Improve code performance, test coverage, and security using automated tools and AI code audits Engineering Workflow Ownership: Define and enforce clean coding practices using AI-based linting, review bots, and test automation Manage code reviews and mentor team members on using AI tools effectively Implement CI/CD pipelines that integrate AI-driven testing and code quality analysis Collaboration & Productization: Work closely with quant and product teams to convert research into robust, user-facing tools Rapidly prototype internal research and analytics tools using AI-aided development Own the delivery of new product features and enhancements across the investment lifecycle AI-Augmented Development: Use GitHub Copilot, GPT-based tools, and AI-assisted workflows for faster prototyping, code generation, documentation, and testing Set up prompt-driven internal dev tools to accelerate feature development and debugging Champion the integration of AI tools into the full SDLC—from planning to deployment Qualifications 6+ years of experience in backend/frontend development with significant exposure to Python, Django, JavaScript, React Proven ability to ship products quickly and iteratively—bonus if you’ve used Copilot, GPT, or other AI-assisted tools regularly Experience with cloud platforms, microservices, and Postgres/Redis Strong understanding of how to integrate AI agents into the development workflow (e.g., prompt engineering, retrieval-augmented coding, AI code assistants) Comfortable working in a fast-moving environment with high autonomy and experimentation Bonus Points For Prior experience setting up AI coding agents or prompt pipelines for engineering Familiarity with tools like Copilot Labs, Codium AI, GPT for API testing, or LangChain/LLM agents for development Contributions to open source or devtool projects that use or build on AI What We Offer Competitive compensation and equity options Direct ownership of critical systems that power high-impact investment outcomes Culture of AI-native engineering —we build fast and smart Work alongside a visionary team of researchers, engineers, and product thinkers Opportunities to shape the future of AI-driven fintech How to Apply Apply here or send your resume and GitHub/portfolio to hr@wrightresearch.in with the subject: “Engineering Manager – Wright Research” Show more Show less