Description

Key Responsibiliti

• esDesign and develop a scalable AI platform for building, testing, evaluating, and deploying GenAI/LLM application
• s.Build self-service tools, SDKs, and APIs to enable seamless AI application development across team
• s.Develop and maintain agent orchestration systems, evaluation pipelines, and ModelOps/LLMOps workflow
• s.Architect and implement microservices-based backend systems using Python (FastAPI
• ).Ensure high performance using asynchronous and concurrent programming technique
• s.Implement and manage CI/CD pipelines, DevOps practices, and observability framework
• s.Integrate and manage data and streaming systems including Kafka, Redis, and vector database
• s.Collaborate with cross-functional teams (engineering, data science, and product) to deliver scalable AI solution
• s.Drive platform quality across scalability, reliability, security, and performanc
• e.Promote best practices in secure development, API design, and system architectur

e.
Must-Have Ski

• lls6+ years of experience in Python development, with strong expertise in FastAPI or similar framewor
• ks.Hands-on experience in GenAI and LLM-based application development, includi
• ng:Agent orchestrat
• ionLLM evaluation framewo
• rksModelOps / LLM
• OpsStrong understanding
• of:Microservices architect
• ureRESTful API developm
• entAsynchronous & concurrent programm
• ingExperience wi
• th:DevOps practices and CI/CD pipeli
• nesObservability tools and monitoring framewo

Key Skills

Education

Bachelor's degree