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Remote hiring and mid-level (5+ yrs) amplify competition, while niche GenAI skills moderately limit the qualified pool.
High because deep generative AI, LLM, and deployment expertise is specialized and less transferable across industries.
Explicit 5+ years GenAI requirement plus mandatory LLM, LangChain, PyTorch, and vector DB experience tightens filters.
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Develop and research advanced Generative AI agents and platform capabilities.
Design, implement, and optimize end-to-end machine learning pipelines for AI applications.
Collaborate in customer-facing engagements and solution design for AI and ML technologies.
5+ years experience in Generative AI and 2+ years in traditional Machine Learning.
Proficiency in Python and experience with AI frameworks like TensorFlow, PyTorch, Scikit-learn, LangChain, and LangGraph.
Bachelor's degree in Computer Science, Data Science, Engineering, Math, or related field.
Remote work location: India only; full-time position.
Experienced in LLMs (GPT), prompt engineering, and AI agent architectures focused on practical use cases like NLQ to SQL translation.
Able to independently design solutions using large language models, embedding models, vector databases, and AI APIs (OpenAI, Llama, Azure OpenAI).
Has worked or is familiar with AI applications in financial, healthcare, or insurance sectors (preferred but not mandatory).