We are seeking an innovative and driven Full Stack Developer to join our engineering team. In this role, you will design, build, and scale end-to-end web applications while supercharging your workflow and product capabilities with cutting-edge AI tools.
You will bridge the gap between traditional software engineering and modern AI integration—leveraging LLMs, AI-assisted development platforms, and intelligent automation to build smarter products faster.
Key Responsibilities-
- End-to-End Development: Design, develop, test, and deploy robust, scalable web applications across the entire stack (front-end and back-end).
- AI Integration: Seamlessly integrate AI and Machine Learning capabilities (such as OpenAI APIs, LangChain, vector databases, or custom LLMs) into core product features to enhance user experiences.
- AI-Driven Productivity: Utilize AI-powered coding assistants and workflows (e.g., GitHub Copilot, Claude, Cursor) to accelerate development cycles, write clean code, and optimize debugging processes.
- API & Architecture Design: Build and maintain scalable RESTful APIs, microservices, and secure database architectures that support AI-heavy workloads.
- Performance & Optimization: Monitor application performance, troubleshoot bottlenecks, and ensure high availability and responsiveness of both front-end interfaces and back-end AI pipelines.
- Collaboration: Work closely with product managers, UI/UX designers, and data scientists to translate complex requirements into high-performing, intuitive software solutions.
Qualifications & RequirementsExperience:
3+ years of professional software development experience building production-grade web applications.
Full Stack Expertise:
- Front-End: Proficiency in modern frameworks such as React, Next.js, Vue.js, or Angular, alongside HTML5, CSS3, and JavaScript/TypeScript.
- Back-End: Strong experience with Node.js, Python (Django/FastAPI), or Go, and relational/NoSQL databases (PostgreSQL, MongoDB, Redis).
- AI Proficiency:Hands-on experience integrating third-party AI APIs (OpenAI, Anthropic, Gemini) and working with LLM orchestration frameworks (LangChain, LlamaIndex).
- Familiarity with vector databases (Pinecone, Chroma, Milvus) for semantic search and RAG (Retrieval-Augmented Generation) architectures.
- AI-Assisted Engineering: Demonstrated proficiency in leveraging AI development tools to maximize coding efficiency, automated testing, and code review.
- DevOps & Cloud: Basic familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Soft Skills: Strong problem-solving mindset, excellent communication skills, and an eagerness to stay at the forefront of rapidly evolving AI technologies.
Pay: ₹40,000.00 - ₹50,000.00 per month
Work Location: In person
