About the role
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.