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Tier-1 brand, mid-level generalist backend title, metro location and broad Python/GenAI skillset increases candidate competition.
Requires specific backend plus GenAI/LLM experience, making cross-industry transfers more difficult.
Explicit 5-8 years and mandatory Python, GenAI and containerization tech stack enforce strict filters.
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Design, develop, and maintain scalable backend systems integrating AI/ML capabilities such as Retrieval-Augmented Generation, Large Language Models, and Machine Learning Control Plane.
Develop and optimize business process automation solutions leveraging cutting-edge AI technologies and containerization (Docker, Kubernetes).
Handle day-to-day operational tasks including troubleshooting, enhancements, and routine administrative work for data and automation applications.
5-8 years of experience as a Python or Backend Developer.
Proficiency in Python backend frameworks (FastAPI, Flask, Django) and AI/ML libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex).
Experience with SQL/PL-SQL, RDBMS or equivalent database systems.
Hands-on experience with AI frameworks (RAG, MCP, LLMs) and containerization technologies like Docker and Kubernetes.
Bachelor’s or Master’s degree in Computer Science or Engineering.
Experienced in building and integrating AI-driven backend systems with emphasis on scalable and resilient architecture.
Capable of working within collaborative teams and engaging cross-functional resources to execute strategic objectives.
Has practical knowledge of product lifecycle management including design, development, quality assurance, deployment, and maintenance.