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3 weeks ago

India Weekday AI Full time

This role is for one of Weekday s clients Min Experience 2 years Location Remote India JobType full-time Requirements About the role We are seeking a talented Gen AI Developer with at least 2 years of experience in NLP and Generative AI development You ll work on building and enhancing AI-driven features - chatbots QA agents and smarter reporting assistants - using tools like LangGraph LangChain OpenAI and Hugging Face Experience in Django-based chatbot deployment and programmatic marketing is a strong plus Responsibilities Design develop and deploy NLP and generative AI models using LangGraph LangChain OpenAI GPT series and Hugging Face Transformers Integrate AI workflows to power conversational agents for campaign QA reporting prompts and performance recommendations Collaborate with product and data teams to embed GenAI features into AtomicAds core platform Build and maintain chatbot solutions using Python and Django for user interactions and dashboard integrations Optimize AI pipelines for scalability latency reliability and cost-efficiency Implement model monitoring and evaluation tools to ensure performance and fairness Ensure secure compliant deployment of models and APIs Maintain clear documentation testing strategies and version control Requirements Experience Minimum 2 years in NLP and GenAI development Technical Skills Proficient in Python with deep experience in AI frameworks LangGraph LangChain OpenAI API Hugging Face Hands-on experience building chatbot service layers using Django or similar Python web frameworks AI Competency Strong grasp of LLM architectures prompt engineering model fine-tuning and evaluation Software Engineering Demonstrated ability to write clean modular and testable code Collaboration and Communication Ability to work in small teams with clear written and verbal communication Bonus Experience with programmatic advertising DSPs or marketing automation Familiarity with cloud platforms AWS GCP Azure for AI workloads Knowledge of MLOps Docker Kubernetes or CI CD pipelines

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