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Mid-level, metro, generic software title plus broad GenAI/full-stack requirements increase applicant competition.
Strong ML/AI and full-stack skills are transferable, though property-management domain experience increases bias.
Multiple mandatory AI, full-stack, cloud, and explicit 3+ years requirements make shortlisting strict.
Design, develop, and deploy end-to-end GenAI solutions for property management including natural language query translation and AI-powered dashboards.
Develop full-stack web applications using React, Python, Django, and REST APIs with strong focus on scalability, security, and performance.
Implement and maintain cloud infrastructure and CI/CD pipelines using Terraform, Docker, Azure Search Service, OpenSearch, and GitHub Actions for AI services deployment.
Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, Engineering, or related field.
3+ years of experience as an AI Engineer, Full Stack Developer, or similar role with AI and full-stack development expertise.
Strong proficiency in Python, AI/ML libraries (like LangChain), React/NextJS, Django, and experience with LLMs and RAG pipelines.
Experience with cloud platforms (AWS or Azure), Terraform IaC, containerization (Docker), CI/CD pipelines, and relational databases (PostgreSQL, MySQL).
On-site location: Bengaluru, KA.
Experienced in designing and deploying complex GenAI and agentic AI systems integrated end-to-end with scalable cloud infrastructure.
Technical operator with strong full-stack development skills combined with deep AI/ML knowledge, capable of bridging backend AI models and user interfaces.
Comfortable working in Agile environments collaborating cross-functionally and managing deployable, secure AI-powered software solutions.