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Remote hiring and mid-level experience increase applicant pool despite niche GenAI specialization.
Specialized GenAI skills and agent experience limit transferability across non-AI-focused roles.
Multiple explicit years and specific GenAI tech stack requirements make shortlisting highly selective.
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Design, develop, and deploy Generative AI solutions including prompt engineering and intelligent AI agents for various use cases.
Build and optimize end-to-end machine learning and generative AI pipelines primarily using Large Language Models (LLM) and related AI/ML technologies.
Engage in client-facing activities to consult on AI architecture and deliver enterprise-level AI models, including applications like NLQ to SQL translation.
Minimum 5+ years experience in Generative AI and at least 2+ years in traditional Machine Learning.
Proficient in Python programming with experience in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries.
Bachelor's degree in Computer Science, Data Science, Engineering, Math, or related field mandatory.
Experience with LLMs (GPT), prompt engineering, LangChain, LangGraph, AI agent assembly, and hands-on work with models like OpenAI, Llama/Llama2, and Azure OpenAI required.
Mid-Senior level professional with strong expertise in large language models and generative AI technologies focused on solution design and deployment.
Comfortable in customer-facing roles, able to communicate complex AI architectures and solutions effectively.
Experience applying AI/ML in regulated industries such as financial services, healthcare, or insurance is a plus.