Software Engineer
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Software Engineer (AI / Full Stack)
Experience: 2 - 4 Years
Location and Working Mode : Santa Clara, Hybrid ( 3 days from office) Environment: Fast-moving startup culture
About the Role:
We 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 Do:
Build 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 For:
- 2-4 years of professional software engineering experienceStrong ReatJS/Anuglar JS development experienceStrong Python, Django, FastAPI Experience with AWS, GCP, or cloud deployments
- Familiarity with Docker, CI/CD pipelines, and DevOps basics
- Experience building REST APIs and backend systems
- Exposure to AI frameworks / LLM tooling, such as: LangChain, LlamaIndex, OpenAI APIs, Hugging Face, Vector databases
Ideal Candidate:
- Smart, curious, and highly motivated to learn
- Strong problem solver
- Comfortable building from idea → product → deployment
- Excited about AI-first engineering workflows and Thrives in small, high-impact teams
- Strong problem-solving skills and learning mindset
- Comfortable working in fast-moving startup environments