Full - Stack Engineer

Responsibilities:
Design, develop, and maintain scalable, high-performance backend systems.
Build and integrate AI/LLM-powered applications and services.
Work with LLM APIs, AI agents, RAG pipelines, tool calling, or other GenAI technologies.
Design and develop robust APIs, microservices, and distributed backend systems.
Take ownership of features from architecture and development through deployment and production support.
Optimize backend systems for performance, scalability, reliability, and maintainability.
Work closely with product and engineering teams to translate business problems into technical solutions.
Debug complex production issues and drive them to resolution.
Evaluate and integrate new AI/LLM technologies where relevant.
Contribute to engineering best practices, system design, testing, and code quality.
Requirements:
5-10 years of strong software/backend engineering experience.
Strong proficiency in at least one OOP language, such as Python, Java, Go/Golang, C++, or another strong OOP language.
Mandatory hands-on experience with AI/LLMs/GenAI.
Experience building or deploying production-grade AI/LLM applications.
Strong understanding of backend engineering, APIs, databases, and system design.
Experience working with scalable and distributed systems is highly preferred.
Strong problem-solving and debugging skills.
Ability to independently own and deliver technically complex projects.
Candidates should have practical experience with areas such as LLM-based applications, generative AI, RAG, AI agents/agentic workflows, LLM APIs such as OpenAI, Gemini, Claude, etc., prompt engineering and LLM orchestration, Tool/function callin.

Experience
5-9 yrs