Software Engineer

Software Engineer (AI / Full Stack)Experience: 2 - 4 YearsLocation and Working Mode : Santa Clara, Hybrid ( 3 days from office) Environment: Fast-moving startup cultureAbout the RoleWe are looking for sharp early-career engineers (2 to 4 years experience) who are excited about building AI-powered products end-to-end. This role is ideal for engineers who thrive in high-velocity startup environments, enjoy solving complex problems, and are passionate about leveraging AI-assisted development tools. You will work across the entire stack — from UI to backend systems to deployment, building modern applications powered by LLMs and AI frameworks.What You'll DoBuild end-to-end applications from frontend UI to backend APIs and deployment.Develop backend services and full-stack development using React / Angular JS/ Next.js/Python and modern frameworks.Design and maintain secure RESTful APIs and backend services Collaborate on frontend features using JavaScript/TypeScript and frameworks like Svelte, React, or Angular Integrate AI/LLM capabilities into products and workflows.Work with AI-assisted coding tools like Cursor, Claude, or similar.Design and build APIs, microservices, and scalable systems.Collaborate with a small, high-performing engineering team to ship features quickly.Continuously explore and adopt new AI tools and technologies.What We're Looking For2-4 years of professional software engineering experienceStrong ReatJS/Anuglar JS development experienceStrong Python, Django, FastAPI Experience with AWS, GCP, or cloud deploymentsFamiliarity with Docker, CI/CD pipelines, and DevOps basicsExperience building REST APIs and backend systemsExposure to AI frameworks / LLM tooling, such as: LangChain, LlamaIndex,OpenAI APIs,Hugging Face,Vector databasesIdeal CandidateSmart, curious, and highly motivated to learnStrong problem solverComfortable building from idea → product → deploymentExcited about AI-first engineering workflows and Thrives in small, high-impact teamsStrong problem-solving skills and learning mindsetComfortable working in fast-moving startup environments