AI Developer (Generative AI & Agentic AI)A client of DWS is seeking a highly motivated AI Developer with hands-on experience in Generative AI, Machine Learning, and Agentic AI technologies to develop intelligent solutions that automate business processes, enhance user productivity, and improve data-driven decision making. The successful candidate will design, build, and deploy AI-powered applications including AI agents, copilots, retrieval-augmented generation (RAG) solutions, conversational assistants, and workflow automation platforms. This role requires a strong software engineering foundation combined with practical experience implementing production-ready AI systems within enterprise environments.Key ResponsibilitiesDesign, develop, and deploy AI-powered applications, AI agents, copilots, and intelligent automation solutions.Implement Agentic AI frameworks that leverage planning, reasoning, memory, orchestration, and tool usage capabilities.Develop Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, enterprise knowledge repositories, and semantic search technologies.
Build scalable AI services using Large Language Models (LLMs) and cloud-native architectures.Integrate AI capabilities into enterprise applications, data platforms, and business workflows.Develop APIs, microservices, and backend services that support AI applications.Build integrations with enterprise systems including CRM, MDM, data governance, and cloud platforms.Collaborate with product managers, architects, data engineers, and business stakeholders to translate business requirements into scalable AI solutions.Support the deployment, monitoring, and optimization of AI applications in development, test, and production environments.Implement LLMOps and MLOps best practices for model lifecycle management, version control, evaluation, monitoring, and governance.Monitor solution performance, usage, and operational metrics to continuously improve user experience and business outcomes.Ensure AI solutions comply with healthcare and life sciences regulatory requirements.Implement auditability, traceability, access controls, and monitoring across AI applications.Required QualificationsBachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.3–4 years of hands-on experience developing AI/ML solutions in enterprise environments.2+ years of experience building solutions using Agentic AI technologies and Generative AI frameworks.Relevant experience delivering production-ready AI applications from concept through deployment.Preferred Technical SkillsLarge Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Semantic Search and Embeddings & AI Evaluation FrameworksExperience with one or more: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndexPython (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworksExperience with one or more Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI ServicesAny of the below or more Vector Databases, Azure AI Search, PostgreSQL, SnowflakePreferred QualificationsExperience developing AI solutions within healthcare, pharmaceutical, life sciences, or regulated industries.Familiarity with Master Data Management (MDM), Data Governance, and Stewardship solutions.Experience implementing LLMOps/MLOps pipelines.Knowledge of AI security, model evaluation, and responsible AI practices.Experience integrating AI services into Salesforce, enterprise workflow platforms, or customer-facing applications.