Fullstack Engineer responsible for designing and implementing software applications. Collaborating with product managers and stakeholders to translate requirements into technical solutions in India.
About the role
- Senior Full Stack Engineer responsible for developing a no-code AI workflow platform. Collaborating with the founding team to enhance product features and maintain user experiences.
Responsibilities
- Build and own our platform end-to-end, from backend services and APIs to frontend interfaces.
- Develop robust, scalable backend systems using Python and FastAPI (or similar), with well-optimized databases (SQL/NoSQL).
- Design and maintain high-quality user interfaces in React, Next.js, TypeScript, and Tailwind CSS, delivering intuitive, polished, and responsive user experiences.
- Integrate new AI models and features into our products, ensuring seamless performance and value for users.
- Own StackAI’s landing page and product pages, making them benchmarks of clarity, design, and quality.
- Work across the stack to connect backend services with frontend experiences seamlessly.
- Collaborate with design, product, and customers to refine product direction and prioritize user needs.
- Stay ahead of the curve on full-stack technologies, advocating for best practices and innovative approaches.
- Pitch in with customer support when needed; everyone on the team helps our users succeed.
Requirements
- Strong proficiency in Python (FastAPI or similar frameworks).
- Expertise in React, Next.js, TypeScript, CSS, with bonus points for Tailwind CSS.
- Solid understanding of database design and optimization (SQL/NoSQL, Supabase, SQLAlchemy).
- Hands-on experience with AWS (EC2, S3, RDS, Lambda) and cloud-native architecture.
- Familiarity with Docker, Kubernetes, and containerized deployments.
- Proven track record building and scaling backend systems and frontend applications.
- Strong problem-solving skills, attention to detail, and a user-first mindset.
- Excellent communication and collaboration skills in a startup environment.
- Experience with retrieval-augmented generation (RAG) pipelines, embeddings, or large-scale data processing is a plus.
- Understanding of AI model integration across backend and frontend use cases is preferred.
- Familiarity with modern frontend build pipelines and tools is an asset.
- Knowledge of SEO principles for performance and discoverability is a bonus.
Benefits
- Offers Equity
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