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Strong company brand and metro location but specialized GenAI skillset reduces generalist applicant density.
Requires specialized GenAI, LLM, and regulated-data experience, limiting cross-industry transferability.
Multiple explicit years plus specialized GenAI, cloud, and big-data requirements create strict technical filters.
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Lead design and development of software components embedding Generative AI and intelligent agents into the Software Development Life Cycle (SDLC).
Drive automation, decision-making, and developer productivity improvements across engineering platforms.
Act as a hands-on technical leader and mentor within Agile teams, contributing to architecture alignment and technical excellence.
Minimum 7 years software engineering experience delivering commercial products.
At least 5 years experience with big data querying and managing large scale datasets.
Proficiency in multiple programming languages and modern front end frameworks (Angular, React, or Vue).
Strong cloud experience with AWS, Azure, or GCP and working with sensitive/regulatory data.
Hands-on experience with LLM frameworks/services (e.g., OpenAI, AWS Bedrock, SageMaker, LangChain).
Experience leading and mentoring senior software engineers in complex AI-driven environments.
Deep expertise in Generative AI technologies including LLM deployment, prompt engineering, RAG techniques, and vector databases.
Comfortable working within enterprise architecture frameworks and Agile environments to deliver scalable AI-infused software solutions.