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AI Developer

Dale Workforce Solutions

  • Wayne, PA
  • 30+ days ago
  • Remote
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Biologyunmatched
    • Biotech and Pharmaceuticalunmatched
    • Business Processesunmatched
    • Cloud Architectureunmatched
    • Cloud Computingunmatched
    • Computer Scienceunmatched
    • Continuous Improvementunmatched
    • Customer Relationship Management (CRM)unmatched
    • Data Scienceunmatched
    • Enterprise Applicationsunmatched
    • Healthcareunmatched
    • Improvement Metricsunmatched
    • Information Technology & Information Systemsunmatched
    • Kernel Programmingunmatched
    • Knowledge Repositoriesunmatched
    • Machine Learningunmatched
    • Master Data Management (MDM)unmatched
    • Memory Hardwareunmatched
    • Modeling Languagesunmatched
    • Performance Analysisunmatched
    • Production Systemsunmatched
    • Productivity Managementunmatched
    • Regulatory Requirementsunmatched
    • Requirements Managementunmatched
    • Salesforce.comunmatched
    • Scalable System Developmentunmatched
    • Search Technologyunmatched
    • Security Analysisunmatched
    • Semantic Searchunmatched
    • Software Engineeringunmatched
    • Software Testingunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Stewardshipunmatched
    • User Interface/Experience (UI/UX)unmatched

    Description

    AI Developer (Generative AI & Agentic AI)
    Location: Remote / Hybrid (Wayne, PA Preferred)
    Business Unit: US RBU
    Position Overview
    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
    AI & Agentic Solution Development
    • 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
    Education
    • Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field.
    Experience
    • 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
    AI & Generative AI:
    • 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
    Programming & Development:
    • Python (required), SQL, REST APIs, Git/GitHub, FastAPI or equivalent backend frameworks
    Cloud & Data Platforms: experience with one or more
    Microsoft Azure, Azure OpenAI, Azure AI Foundry, AWS Bedrock & Google Cloud AI Services
    Data & Integration: 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.

    Numbers & Facts

    LocationWayne, PA (
    Remote    )

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