Backend Engineer - AI-Powered Search & Applications (Remote | Immediate Joiners)

Bachelor’s or Master’s degree in Computer Science or a related field. 4–6 years of backend development experience. Proficiency in Java, Golang, or Python with strong coding and system design fundamentals. Experience designing and scaling distributed systems at production scale. Exposure to LLM inference setups (e.g., vLLM, Hugging Face Inference, Triton). Strong debugging, profiling, and performance tuning skills for latency-sensitive applications. Knowledge of storage systems, query optimization, and caching strategies. Hands-on experience with AWS (preferred), Kafka, and CI/CD pipelines. Ability to work autonomously and deliver in fast-paced environments. Passion for mentoring engineers and leading by example.

Design and build scalable microservices for AI-driven search and discovery stack. Develop backend services and APIs for LLM-powered applications. Integrate RAG pipelines, multimodal models, and inference workloads with ML engineers and data scientists. Optimize inference pipelines for latency, throughput, and cost efficiency. Own end-to-end delivery of complex backend projects, from design to deployment and monitoring. Write high-quality, maintainable code with rigorous testing and fault-tolerant practices. Drive operational excellence through performance tuning, incident response, and root cause analysis. Translate business needs into scalable technical solutions working cross-functionally.