Cognizant
Senior Gen AI Developer (Onsite)
Cognizant, Houston, Texas, United States, 77246
GenAI DeveloperExperience Range:
10+ YearsLocation:
Houston, TXEssential Job Functions & Responsibilities:GenAI Application Development: Design, develop, and deploy cutting-edge GenAI applications, such as conversational chatbots, that provide exceptional user experiences.Proof of Concept to Production: Collaborate with cross-functional teams taking existing proof of concepts to production.Hands-On Development: Write clean, efficient, and maintainable code primarily using Python and object-oriented design frameworks, and Azure technologies.Team Collaboration: Work closely with a talented team of developers to share knowledge, solve complex problems, and deliver high-quality solutions.Skills, Experience & Education Requirements:Python Proficiency: 10+ years of experience in software development. Strong proficiency in Python programming, with experience in object-oriented frameworks and the entire software development lifecycle.GenAI Expertise: At least 5 years of experience in AI, with a minimum of 2 years focused on Generative AI.LLM Proficiency: At least 1 year of hands-on experience interfacing with and leveraging Large Language Models (LLMs).GenAI Production Experience: Proven track record of implementing at least 1 production-grade Generative AI solution like a conversational chatbot with large language models at the enterprise level.Azure Mastery: Deep practical experience with Azure, including Function Apps, APIM, and App Insights.GenAI Model Expertise: Familiarity with one or more of the following: Azure OpenAI models, Google Gemini model variants.Application Development: Knowledge of Langchain or similar application development libraries.Multi-Agent Frameworks: Understanding of multi-agent frameworks for designing and deploying complex applications.GenAI Fundamentals: General understanding of Generative AI models, concepts, capabilities, and usage patterns including retrieval augmented generation, chunking, and fine-tuning.Nice-to-have Requirements:C# proficiency is a plus.API Development: Experience in developing and managing APIs.Multi-Agent Solutions: Implementation of at least one production-level GenAI solution using multi-agent frameworks.Multiple Production Solutions: Experience implementing more than one production-grade Generative AI solution.
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10+ YearsLocation:
Houston, TXEssential Job Functions & Responsibilities:GenAI Application Development: Design, develop, and deploy cutting-edge GenAI applications, such as conversational chatbots, that provide exceptional user experiences.Proof of Concept to Production: Collaborate with cross-functional teams taking existing proof of concepts to production.Hands-On Development: Write clean, efficient, and maintainable code primarily using Python and object-oriented design frameworks, and Azure technologies.Team Collaboration: Work closely with a talented team of developers to share knowledge, solve complex problems, and deliver high-quality solutions.Skills, Experience & Education Requirements:Python Proficiency: 10+ years of experience in software development. Strong proficiency in Python programming, with experience in object-oriented frameworks and the entire software development lifecycle.GenAI Expertise: At least 5 years of experience in AI, with a minimum of 2 years focused on Generative AI.LLM Proficiency: At least 1 year of hands-on experience interfacing with and leveraging Large Language Models (LLMs).GenAI Production Experience: Proven track record of implementing at least 1 production-grade Generative AI solution like a conversational chatbot with large language models at the enterprise level.Azure Mastery: Deep practical experience with Azure, including Function Apps, APIM, and App Insights.GenAI Model Expertise: Familiarity with one or more of the following: Azure OpenAI models, Google Gemini model variants.Application Development: Knowledge of Langchain or similar application development libraries.Multi-Agent Frameworks: Understanding of multi-agent frameworks for designing and deploying complex applications.GenAI Fundamentals: General understanding of Generative AI models, concepts, capabilities, and usage patterns including retrieval augmented generation, chunking, and fine-tuning.Nice-to-have Requirements:C# proficiency is a plus.API Development: Experience in developing and managing APIs.Multi-Agent Solutions: Implementation of at least one production-level GenAI solution using multi-agent frameworks.Multiple Production Solutions: Experience implementing more than one production-grade Generative AI solution.
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