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About the role
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 integrationleveraging 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.Compensation: 40,000.00 - 50,000.00 per month Work Location: In person .