Key Responsibilities :

- Design, develop, and deploy production-grade backend/full-stack applications.

- Build scalable and reliable distributed systems capable of handling high-volume workloads.

- Design and implement LLM-powered applications and AI-driven features.

- Develop RAG (Retrieval-Augmented Generation) pipelines and AI agent workflows.

- Apply prompt engineering techniques to improve LLM performance and reliability.

- Integrate LLMs and AI capabilities into existing enterprise applications.

- Design APIs, services, and data pipelines supporting AI workloads.

- Work on system scalability, performance, reliability, and observability.

- Troubleshoot complex production issues and perform root-cause analysis.

- Collaborate with product, engineering, data, and AI teams to deliver scalable solutions.

- Drive engineering best practices including code reviews, testing, CI/CD, and system monitoring.

Mandatory Skills :

- 8-14 years of software engineering experience.

- Strong backend or full-stack development experience.

- 2+ years of hands-on LLM experience.

- RAG / Retrieval-Augmented Generation.

- AI Agents / Agentic workflows.

- Prompt Engineering.

- Strong experience building production-grade distributed systems.

- Strong programming and software architecture fundamentals.

- Experience with APIs, microservices, scalability, and system design.

Preferred Skills :

- Python / Java / Go / similar backend technologies.

- Experience with LLM frameworks and orchestration tools.

- Vector databases and embedding technologies.

- Cloud platforms such as AWS, Azure, or GCP.

- Docker / Kubernetes.

- CI/CD and DevOps practices.

- Experience with observability, performance optimization, and distributed-system troubleshooting.