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Strong brand, Bangalore metro, and specialized GenAI plus broad skill requirements create high competition.
Medium — generative AI skills transfer across industries but require specialized ML/AI experience.
High due to Staff seniority and mandatory production GenAI, ML, cloud, and infra expertise.
Leverage AI technologies to automate and accelerate software engineering tasks, integrating AI-generated code with human-written code.
Build and scale production-grade generative AI solutions including LLMs, Retrieval-Augmented Generation, and multi-agent workflows.
Lead strategic decisions on AI integration, establish governance and quality standards for AI-assisted software development, and guide teams in adopting AI tools effectively.
Proficiency in Python, TypeScript, and Bash scripting.
Strong understanding and experience with AI technologies, prompt engineering, and generative AI tools.
Bachelor’s degree in Computer Science or Information Technology engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in DevOps, agile methodologies, and debugging complex production systems within .NET and AI-enhanced environments.
Familiarity with cloud-native infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
Knowledgeable about AI agent orchestration frameworks (e.g. LangChain), scalable backend services, and cloud platforms (AWS).