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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand plus Bangalore metro raise applicant density, senior AI specialization narrows qualified pool.
Requires deep generative AI, LLM, and platform engineering experience, limiting cross-industry transferability.
Senior staff AI role with mandatory generative-AI, cloud, and engineering skills implies strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Use AI technologies to innovate and automate software engineering and platform tasks, including developing AI agents and generative AI code integration.
Lead adoption and integration of AI tools within software teams, establishing governance, quality standards, and best practices for AI-assisted development.
Build and scale production-grade generative AI solutions like LLMs, RAG, and agent workflows, and actively contribute to reliability and debugging in production systems.
Minimum Requirements
Bachelor’s degree in Computer Science or Information Technology engineering.
Proficient in Python, TypeScript, and Bash scripting with strong knowledge of AI technologies and generative AI tools including prompt engineering.
Experience in software development including debugging, integration of AI-generated and human-written code, and agile methodologies (Scrum, JIRA, GitHub).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in AI-enhanced software development with hands-on leadership in applying generative AI, model orchestration, and agent architectures in production.
Skilled in cloud-native infrastructure, RESTful API development with Python frameworks (FastAPI, Flask), and familiar with containerization (Docker, Kubernetes) and CI/CD automation.
Capable of strategic AI integration decisions, advancing AI tooling adoption with a collaborative and standards-driven approach in software engineering teams.
