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Tier-1 brand, metro location, and mid-level generalist title increases competition, but niche LLM skills moderate it.
Role requires specialized LLM, agentic AI, and data pipeline experience, limiting cross-industry transferability.
Explicit 3+ years, mandatory LLM/GenAI and Python expertise, and secure/responsible AI requirements raise filtering strictness.
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Designs and delivers integrated Gen AI solutions with enterprise workflows including AI-assisted development and system integration.
Builds and maintains secure, scalable software and data pipelines supporting AI/ML and business process automation.
Produces design artifacts and improves software applications using data insights and modern Agile and SDLC practices.
Minimum 3 years applied software engineering experience with formal training or certification.
Advanced degree in Computer Science, Data Science, or equivalent discipline required.
Strong hands-on Python development expertise with frameworks like Django, Flask, or FastAPI.
Experience with LLMs, Gen AI integrations, AI agent frameworks (e.g., Langchain), and enterprise AI-assisted development tools.
Experienced in end-to-end design and development of AI agentic workflows and RAG solutions within large corporate environments.
Proficient with modern SDLC, Agile methodologies, CI/CD pipelines, and secure software engineering for cloud and ML technologies.
Able to integrate responsible AI practices focusing on secure, resilient coding and guiding teams in AI-assisted development.