GenAI Developer

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 Responsibilities

• Design, 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 Qualifications

• Bachelor'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 Skills

• Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Semantic Search and Embeddings & AI Evaluation Frameworks
• Experience with one or more: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, LlamaIndex
• Python (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworks
• Experience with one or more Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI Services
• Any of the below or more Vector Databases, Azure AI Search, PostgreSQL, Snowflake

Preferred Qualifications

• Experience 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.