GenAI Developer

18 hours ago
Dallas, Texas, United States Mavi Softech Full-time
Company Description Mavi Softech is a trusted SAP Partner delivering innovative IT and SAP solutions to businesses across Europe and India. With over eight years of industry experience, the company specializes in SAP S/4HANA implementation and migration, analytics, cloud integration, SuccessFactors, Ariba, SAP BTP, and customized ERP solutions. Mavi Softech supports clients in diverse sectors including Automotive, Pharmaceutical, FMCG, Manufacturing, Chemical, Real Estate, and Energy. The organization focuses on transforming business operations through cutting-edge technology, resource outsourcing, and real-time analytics to help clients achieve operational excellence and sustainable growth. Team members join a forward-looking environment that aims to modernize enterprises and unlock new digital possibilities. Role Description The GenAI Developer will design, develop, and deploy generative AI solutions that enhance SAP-based and broader enterprise applications. This full-time, on-site role is based in Dallas, TX, and involves collaborating closely with cross-functional teams, including SAP consultants, data engineers, and business stakeholders, to understand requirements and translate them into scalable AI-driven features. Day-to-day responsibilities include building and integrating large language model (LLM) and other GenAI services, creating APIs and microservices, optimizing prompts and model performance, and ensuring secure, compliant handling of data. The developer will prototype new AI capabilities, conduct experiments, evaluate quality and reliability of outputs, and refine models based on user feedback and metrics. The role also includes documenting solutions, contributing to best practices, and supporting deployment, monitoring, and ongoing improvement of GenAI-based systems. Qualifications
• Strong programming skills in languages commonly used for AI and backend development (e.g., Python, JavaScript/TypeScript, or Java) and experience building APIs or microservices.
• Hands-on experience with generative AI and LLM platforms (e.g., OpenAI, Azure OpenAI, Google Vertex AI, Hugging Face) and familiarity with prompt engineering and fine-tuning.
• Solid understanding of machine learning concepts, NLP techniques, and data processing pipelines, including model evaluation and performance optimization.
• Experience integrating AI solutions with enterprise systems or cloud platforms (e.g., SAP BTP, SAP S/4HANA, AWS, Azure, or GCP) and working with RESTful or GraphQL services.
• Knowledge of software engineering best practices, including version control (Git), testing, CI/CD, and secure coding standards.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical specifications and practical AI use cases.
• Effective communication and collaboration abilities, with experience working in cross-functional, agile teams and interacting with technical and non-technical stakeholders.
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