Digital Products Engineer – Web & AI

Position: Digital Products Engineer – Web & AI Location: Prahladnagar, Ahmedabad Employment Type: Full-time | On-site Company: Lakshya Asset Management Pvt. Ltd. Experience: 0–4 years About the Role We are looking for a Digital Products Engineer to join Lakshya's core technology team at a pivotal stage of our growth. This is a high-ownership, hands-on role within a small and focused engineering team. You will be building significant parts of our digital infrastructure — from full-stack scalable web applications to intelligent, user-facing AI features — where your work will be foundational, visible, and consequential. If you build end-to-end with confidence, think carefully about user experience, and use AI as a natural part of how you work, this role is for you. What You Will Work On You will be working across multiple digital initiatives at Lakshya. These span frontend-heavy web development, backend API work, cloud infrastructure, and meaningful AI-powered user-facing features at the intersection of intelligent systems and personal finance. The scope is broad by design. You will not be joining to maintain what exists; but to build what comes next. Educational Qualifications A Bachelor's degree in Computer Science, Information Technology, or an equivalent technical discipline — such as B.Tech, B.E., or BCA — is the baseline expectation. That said, we place demonstrated ability above formal credentials. Candidates who do not fit this profile precisely but can show meaningful, real-world engineering work will receive equal consideration. Key Responsibilities • Design and develop responsive, performant frontend interfaces using React and Vite • Build and maintain backend APIs using FastAPI, integrated with MSSQL databases • Develop and iterate on AI-powered features — including conversational interfaces, context-based dynamic logic, and prompt engineering • Work with Azure for deployment, scaling, and cloud infrastructure management • Write clean, modular, and maintainable code with a view toward long-term extensibility • Collaborate with team members on architecture decisions, technical scoping, and delivery • Participate in planning for evolving product requirements as the organisation grows Technical Requirements • Strong proficiency in React with Vite • Backend development experience in Python; FastAPI preferred or a demonstrated ability to adopt it quickly • Working knowledge of MSSQL — schema design, querying, and application-layer integration • Hands-on experience with Azure, at minimum in deployment and environment management • Practical experience building or integrating AI and LLM-powered features using OpenRouter APIs, LangChain, or similar frameworks Experience & Background We are not looking for a narrow specialist. This role demands someone who moves fluidly across frontend, backend, cloud, and AI — and who understands that in a world where AI tools can close skill gaps rapidly, the limiting factor is rarely knowledge. It is judgment, curiosity, and the will to figure things out. Zero to four years of professional experience is a reasonable baseline, but we will weigh demonstrated range over years on a CV. If you have shipped real products, made architectural decisions, and used AI tools habitually as a force multiplier — you are the profile we have in mind. We are looking for people who do not wait to be told what tool to use or how to approach a problem. Someone who can use AI tools actively across the development workflow for code generation, debugging, documentation, and problem-solving without fully depending on it will thrive. Genuine curiosity about personal finance, wealth management, or fintech is a plus. The problems you will be solving are more interesting when you understand the domain behind them. What We Value • Ownership — you take a problem from brief to production without needing hand-holding • Visual sensibility — you can tell when something looks right and when it does not • Product thinking — you think about the person using the interface, not just the code behind it • AI fluency — you use AI tools and frameworks to work faster, better, and more creatively • Communication — you can discuss technical decisions clearly with non-technical stakeholders • Curiosity — particularly at the intersection of technology, user behaviour, and financial decision-making