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Niche GenAI skills reduce applicants, but common .NET/JS stack and metro location increase competition.
Medium—GenAI engineering skills transfer across industries, though Tax/Finance domain preference increases bias.
High—explicit 6.5–10 years plus mandatory GenAI, LLM, .NET, frontend, and cloud skills.
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Design, develop, and maintain production-grade Generative AI and Agentic Workflow applications focusing on security, scalability, and cost optimization.
Build and orchestrate multi-agent systems leveraging LLMs and implement RAG pipelines, embeddings, and vector search solutions.
Collaborate with product, business, and domain teams to deliver domain-specific AI solutions, participate in architecture/design reviews, and mentor junior engineers.
6.5 to 10 years of software development experience in the IT industry.
1+ years hands-on experience in Agentic AI or AI Workflow development.
Strong expertise with .NET technologies (C#, ASP.NET, .NET Core) and front-end frameworks (Angular, React, Javascript, or Typescript).
Experience with Generative AI platforms (Azure OpenAI, OpenAI, Anthropic), cloud platforms (preferably Azure), and scalable cloud-native system design.
Experienced in building and scaling production-grade AI solutions with a focus on cost and operational efficiency.
Familiar with Finance, Tax, or Banking domains, especially compliance-driven systems (preferred but not mandatory).
Comfortable working in collaborative, cross-functional teams and mentoring junior developers, with strong architectural and design skills.