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Hot GenAI role, metro location, broad mid-level skillset, and notable employer increase candidate competition density.
Role requires specialized LLM and GenAI production experience, making cross-industry transfers difficult without domain expertise.
Many mandatory, specialized LLM, Azure, Databricks, and production-systems skills create strict shortlisting filters.
Design, develop, and own end-to-end Generative AI solutions leveraging Large Language Models and RAG systems with measurable business impact.
Build reusable AI components, frameworks, and scalable production-grade systems with a focus on accuracy, latency, cost, and reliability.
Collaborate with cross-functional teams and stakeholders to align AI initiatives with business goals and contribute to client proposals, PoCs, and knowledge sharing.
Mandatory expertise in Generative AI and NLP technologies including LangChain, LlamaIndex, Azure OpenAI, prompt engineering, and agentic Generative AI frameworks.
Strong programming skills in Python and experience with FastAPI, Azure Cloud services including Azure DevOps, Azure Databricks, and AI/ML tools.
Familiarity with advanced Retrieval-Augmented Generation (RAG) systems, classical NLP tasks, and Databricks ecosystem tools.
Work Experience Required: Not explicitly mentioned in the JD.
Able to independently drive AI solution designs from ambiguous business problems to measurable outcomes with accountability for business impact.
Experienced in balancing trade-offs between latency, cost, accuracy, and maintainability in large-scale AI deployments.
Comfortable operating in agile, cross-functional environments involving client interactions, code and design reviews, mentoring, and contribution to internal IP and best practices.