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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer (Generative AI / Agentic AI) - **Company:** Cognizant Technology Solutions Corporation - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $70,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Computer Programming, Information Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, Search Technologies, Software Engineering, Systems Integration, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Information Technology, Virtual Agents, Api Design, Restful APIs, Microservices - **Published:** July 1, 2026 - **Apply:** https://dejobs.org/x/x/86507327CDFF4516A30D60C58EF0ABFA/job/ ## About the Role * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. * 3-8 years of experience in software engineering, application development, or data engineering. * Hands-on experience building Generative AI or LLM-powered applications in enterprise environments. * Experience developing APIs, microservices, or distributed systems using modern software engineering practices. * Strong understanding of AI/ML concepts, prompt engineering, and LLM integration patterns. * Experience implementing RAG architectures and integrating external data sources with language models. * Proficiency in programming languages commonly used for AI application development, such as Python. * Experience developing secure, scalable, and production-ready applications. These Will Help You Stand Out * Experience working with agentic AI frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar platforms. * Experience deploying AI solutions on cloud platforms, particularly Microsoft Azure. * Knowledge of AI model evaluation techniques, observability frameworks, and responsible AI practices. * Familiarity with vector databases, embeddings, and semantic search technologies. * Experience optimizing AI workloads for performance, scalability, and operational costs. ## Description As a Senior Software Engineer , you will make an impact by designing, developing, and deploying innovative Generative AI and Agentic AI solutions that solve complex business challenges. You will be a valued member of the engineering team and work collaboratively with architects, data scientists, product owners, and cross-functional stakeholders to deliver scalable AI-powered applications., * Design and implement single-agent and multi-agent AI systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar technologies. * Develop and deploy applications leveraging large language models (LLMs) including Azure OpenAI, OpenAI, Anthropic, and related platforms. * Build and optimize Retrieval-Augmented Generation (RAG) pipelines to improve response accuracy and contextual relevance. * Enable collaboration and orchestration across multiple AI agents within complex agent ecosystems. * Design and develop secure, scalable APIs, microservices, and distributed systems that support AI-driven solutions. * Create evaluation frameworks to measure agent performance, including accuracy, response quality, and hallucination detection. * Monitor system behavior, troubleshoot issues, and continuously improve reliability and operational efficiency. * Optimize AI solutions for performance, scalability, latency, and cost effectiveness. Work Model At Cognizant, we strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs. Based on this role's business requirements, this is an onsite position requiring five days per week in a Cognizant or client office in Charlotte, North Carolina . The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? 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