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GenAI Developer

5 - 9 years

7 - 11 Lacs

Bengaluru

Posted:1 week ago| Platform: Naukri logo

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Skills Required

c# python natural language processing python development machine learning advanced analytics css c++ data management c kernel backend development artificial intelligence javascript jquery sql production support java linux html api agile aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

GenAI Developer is a senior software engineer role focused on building AI-powered applications using natural language processing (NLP) and generative AI models. Develop and code in C# or Python, work on prompt engineering and cloud platforms like Azure. Work in an agile environment and collaborate with cross-functional teams. You have: Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field. Overall 5- 9 years of work experience in C# or Python development where natural language processing was a key component. Atleast 1 year of experience in developing GenAI applications using prompt engineering, in-context learning etc Preferably Certified Cloud Developer (either Microsoft, IBM Cloud, AWS, Google) Good understanding of orchestrating frameworks like Semantic Kernel, AutoGen, Langchain, Llamaindex etc. Work with an Agile mindset to create value across projects of multiple scopes and scale It would be nice if you also had: 1-2+ years of experience in participating in data and analytics initiatives in a corporate environment or a growing, data-driven startup Understanding of advanced analytics, including data management, different types of machine learning approaches and machine learning pipelines Understanding of fine tuning large language models Design and develop generative AI solutions that align with business goals and optimize performance. Collaborate with product managers, data scientists, and designers to create AI-powered applications tailored to customer needs. Build and refine natural language processing models, ensuring seamless user interaction through intuitive interfaces. Integrate generative AI models into applications and manage end-to-end software life cycles. Utilize C# or Python for backend development, focusing on server-side applications and API integrations. Stay updated on AI advancements to continuously enhance application performance and capabilities. Lead documentation efforts and manage production support issues to ensure system reliability. Foster an agile, collaborative environment that encourages innovative problem-solving and creative solutions.

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