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Senior GenAI/Agentic AI Engineer

Weekday, Inc. | Built In

San Francisco, CARemote OKFull-time$180k – $280k / year

About this role

Senior GenAI/Agentic AI Engineer - Weekday, Inc. | Built In Weekday, Inc. https://builtin.com/company/weekday-inc Senior GenAI/Agentic AI Engineer Posted 16 Days Ago Be an Early Applicant Hiring Remotely in India Remote 1M-5M Annually Senior level Artificial Intelligence • HR Tech • Professional Services • Software The Role Design, build, and deploy agentic Generative AI solutions and end-to-end ML pipelines. Perform prompt engineering, model integration (OpenAI, Llama family, Azure OpenAI), vector search, and productionization. Collaborate with customers, produce solution designs, and apply ML best practices for recommendation, deep learning, and NLP use cases. Summary Generated by Built In This role is for one of Weekday’s clientsSalary range: Rs 1000000 - Rs 5000000 (ie INR 10-50 LPA) Min Experience: 4+ yearsLocation: Remote IndiaJobType: full-time This is a full-time Remote role for a Generative AI Engineer and ML expert. You can work from home (anywhere in INDIA, job location is in India) and will be responsible for researching and developing our platform with cutting-edge AI agents. Requirements Qualifications - Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture - Experience in software development - Excellent communication skills (customer facing position) - A deep understanding of GenAI/ML technologies and their implementations - Experience in the financial, healthcare, or insurance industries is a plus - Bachelor's/Master's degree in Computer Science/data science or related field - Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python - Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines. Minimum 5+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such a

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