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Established company, metro location, senior GenAI role with niche LLM/RAG requirements yields moderate competition.
AI engineering skills are transferable, but enterprise integrations and RAG/LLM specialization increase domain specificity.
Explicit 7–12 years requirement plus mandatory production GenAI and integrations makes screening strict.
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Design, develop, and deploy scalable AI/GenAI applications including RAG pipelines and intelligent workflow automation.
Build backend services, APIs, and integrations leveraging LLMs, model APIs, and enterprise data for secure, production-grade AI solutions.
Lead evaluation and optimization of AI systems focusing on quality, performance, scalability, security, and cost-efficiency.
7–12+ years in Software Engineering, AI/ML, or GenAI application development.
Proven experience deploying production-grade AI/GenAI solutions involving backend services and enterprise integrations.
Strong skills in Python, backend development, APIs, system integration, RAG, LLM usage, prompt engineering, and AI observability.
Educational Qualification: BE/B.Tech/MCA in Computer Science, IT, or related field.
Experienced in integrating AI systems with enterprise data platforms and workflows to solve ambiguous business challenges.
Skilled in architecting reusable AI frameworks and accelerators to accelerate enterprise AI adoption.
Comfortable collaborating cross-functionally with business, IT, Security, Data, HR, and Finance teams to identify high-impact AI use cases.