Generative AI Engineer / Principal AI Software Engineer

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Requirement :-1 Generative AI Engineer Dallas, Texas-Onsite Job Summary: Technical Skills Strong hands-on experience designing and building Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, AI Agents, LangChain, LangGraph, Semantic Kernel, and Vector Databases.Proficient in modern frontend technologies including React, Angular, TypeScript, JavaScript (ES6+), HTML5, CSS3, and contemporary UI frameworks.Extensive experience in Python development, ETL processes, MongoDB, Azure Data Services, and Azure AI Search for scalable AI and data-driven applications.Strong backend development expertise using Python, Node.js, Java, RESTful APIs, and Microservices architecture.Experience building AI-driven enterprise automation solutions leveraging LLMs, workflow orchestration, and cloud-native technologies.Solid understanding of data engineering, API design, database architecture, system scalability, application security, and performance optimization.Experienced in designing and deploying cloud-based AI solutions on Microsoft Azure, integrating AI services with enterprise applications and data platform Requirement :-2 Principal Software Engineer – AI/LLM Location: Dallas, TX -Onsite Job Summary We are seeking a Principal Software Engineer – AI/LLM . This is a senior engineering role responsible for designing, developing, and deploying enterprise-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate will have extensive experience building production-ready AI platforms, implementing Retrieval-Augmented Generation (RAG) architectures, integrating foundation models, and developing scalable AI pipelines within highly regulated financial services environments. You will lead the architecture and delivery of AI-driven solutions that enhance document intelligence, lending workflows, and enterprise knowledge management while ensuring compliance, governance, security, and operational excellence. Experience 10+ years of software engineering experience with at least 4+ years focused on AI/ML, Generative AI, or Large Language Models.Experience designing enterprise AI solutions within Banking, Financial Services, or other regulated industries is highly preferred.Required Skills PythonLarge Language Models (LLMs)Amazon BedrockAzure OpenAIOpenAI APIsRetrieval-Augmented Generation (RAG)Prompt EngineeringAI/ML Pipeline DevelopmentREST APIs & MicroservicesAWS and/or Azure CloudVector Databases (Pinecone, FAISS, OpenSearch, Weaviate, ChromaDB, etc.)Document Processing & Intelligent OCRDocker & KubernetesCI/CDGitSQL & NoSQL DatabasesPreferred Skills LangChainLangGraphLlamaIndexMLflowPrompt FlowTerraformKafkaEvent-Driven ArchitectureMLOpsAI GovernanceBanking & Lending Domain KnowledgeEnterprise Security & ComplianceKey Responsibilities Design, architect, and deploy enterprise-scale AI applications using Large Language Models (LLMs).Build production-ready AI platforms leveraging Amazon Bedrock, Azure OpenAI, and other enterprise LLM services.Develop scalable Retrieval-Augmented Generation (RAG) architectures for intelligent enterprise search and document understanding.Build AI-powered document ingestion, conversion, OCR, extraction, and knowledge pipelines for unstructured financial documents.Develop prompt engineering frameworks, orchestration workflows, and model routing strategies to optimize AI responses.Integrate vector databases and semantic search capabilities for enterprise knowledge retrieval.Design APIs and microservices that securely expose AI capabilities across banking applications.Implement AI observability, monitoring, evaluation, logging, and performance optimization frameworks.Collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver AI-powered business solutions.Ensure AI solutions comply with enterprise security, governance, regulatory, and responsible AI standards.Optimize model latency, scalability, reliability, and cost for production environments.Mentor senior engineers and provide technical leadership on AI architecture, best practices, and engineering standards.Support CI/CD automation, infrastructure-as-code, and cloud-native deployment strategies.Stay current with emerging Generative AI technologies and evaluate new capabilities for enterprise adoption.Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.Strong expertise in Python software development.Extensive experience integrating enterprise LLM platforms including Amazon Bedrock, Azure OpenAI, or OpenAI APIs.Proven experience implementing RAG architectures and AI orchestration frameworks.Experience building enterprise document intelligence and AI-powered data extraction solutions.Strong understanding of cloud-native application development on AWS and/or Azure.Experience with containerization, Kubernetes, DevOps, and CI/CD pipelines.Knowledge of vector databases, embeddings, semantic search, and AI evaluation methodologies.Familiarity with banking technology, corporate lending platforms, financial regulations, and secure enterprise application development is highly desirable. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.