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Metro location and in-demand GenAI specialization increase applicant competition moderately.
GenAI skills transferable, but domain preference for Tax/Finance raises some industry specificity.
Explicit 6.5–10 years, 1–2+ years agentic AI, and strict tech stack create high shortlisting rigidity.
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Design, develop, and maintain Generative AI applications and Agentic Workflows with a focus on security, scalability, and cost optimization.
Build and orchestrate multi-agent systems leveraging Large Language Models (LLMs), including implementing Retrieval Augmented Generation (RAG) pipelines and vector search solutions.
Architect and deliver cloud-native, production-grade AI solutions in collaboration with product, business, and domain teams, particularly in Tax, Finance, or Banking domains.
6.5 to 10 years of total software development experience, including 1+ years in Agentic AI / AI Workflow development.
Proficient in .NET technologies (C#, ASP.NET, .NET Core) with strong OOP fundamentals and front-end development using Angular, React, Javascript, or Typescript.
Hands-on experience with Generative AI and LLM platforms such as Azure OpenAI, OpenAI, or Anthropic, including prompt engineering, RAG, embeddings, and vector databases.
Experience with cloud platforms (preferably Microsoft Azure), scalable system design, CI/CD pipelines, and production deployments; Domain experience in Tax, Finance, or Banking preferred but not mandatory.
Experienced in building enterprise-scale, cost-optimized GenAI solutions emphasizing security and operational efficiency.
Comfortable working in complex, compliance-driven domains like Tax, Finance, or Banking and collaborating with cross-functional teams.
Strong architecting skills for scalable cloud-native AI systems and mentoring junior engineers.