"This requirements profile is suitable for a Senior Generative AI Developer, AI Engineer, or Full-Stack Generative AI Developer role supporting enterprise Copilot, hospital intelligence, finance AI, operational analytics, or broader AI transformation initiatives."
Technical Skills
Programming & Software Engineering
o Python: Strong proficiency for application development, API integrations, and AI workflow implementation.
o Experience building REST APIs, microservices, and backend services.
o Strong understanding of software engineering best practices, version control with Git, automated testing, and CI/CD.
LLM APIs & AI Development
o Hands-on experience working with LLM providers and model platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, and Hugging Face/open-source models including Llama, Mistral, or Phi.
o Experience implementing chat applications, AI copilots, agents, function calling, tool integration, and multimodal AI capabilities.
RAG & AI Orchestration Frameworks
o Experience building Retrieval-Augmented Generation (RAG) solutions.
o Proficiency with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, and Semantic Kernel.
o Experience creating agentic workflows and multi-agent systems.
Vector Databases & Embeddings
o Experience with embeddings, semantic search, and enterprise knowledge retrieval.
o Knowledge of vector database platforms such as Pinecone, Weaviate, Chroma, Azure AI Search, and FAISS.
o Understanding of chunking strategies, indexing, retrieval optimization, and relevance tuning.
Cloud Platforms & Infrastructure
Preferred cloud platform: Microsoft Azure.
Experience deploying AI applications using Azure OpenAI, Azure AI Services, Azure AI Search, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
Hands-on experience with Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, monitoring, and logging frameworks.
Data & Enterprise Integration
Experience integrating enterprise data sources, APIs, databases, and document repositories.
Knowledge of data processing, ETL patterns, authentication, authorization, and enterprise security controls.
Professional Competencies
Prompt Engineering: Design effective system prompts, instructions, structured output templates, and evaluation-driven prompt improvements for accuracy, consistency, and cost efficiency.
AI Safety, Governance & Responsible AI: Implement AI guardrails, content safety controls, privacy practices, responsible AI workflows, human-in-the-loop review patterns, and hallucination mitigation through grounding and validation.
System Evaluation & Monitoring: Establish evaluation frameworks to measure accuracy, relevance, latency, cost, hallucination rates, and user satisfaction. Monitor production systems and continuously optimize performance.
Communication & Collaboration: Translate complex AI concepts into business-focused solutions and collaborate effectively with product managers, data scientists, cloud engineers, security teams, and stakeholders.
Technical Skills
Programming & Software Engineering
o Python: Strong proficiency for application development, API integrations, and AI workflow implementation.
o Experience building REST APIs, microservices, and backend services.
o Strong understanding of software engineering best practices, version control with Git, automated testing, and CI/CD.
LLM APIs & AI Development
o Hands-on experience working with LLM providers and model platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, and Hugging Face/open-source models including Llama, Mistral, or Phi.
o Experience implementing chat applications, AI copilots, agents, function calling, tool integration, and multimodal AI capabilities.
RAG & AI Orchestration Frameworks
o Experience building Retrieval-Augmented Generation (RAG) solutions.
o Proficiency with orchestration frameworks such as LangChain, LangGraph, LlamaIndex, and Semantic Kernel.
o Experience creating agentic workflows and multi-agent systems.
Vector Databases & Embeddings
o Experience with embeddings, semantic search, and enterprise knowledge retrieval.
o Knowledge of vector database platforms such as Pinecone, Weaviate, Chroma, Azure AI Search, and FAISS.
o Understanding of chunking strategies, indexing, retrieval optimization, and relevance tuning.
Cloud Platforms & Infrastructure
Preferred cloud platform: Microsoft Azure.
Experience deploying AI applications using Azure OpenAI, Azure AI Services, Azure AI Search, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
Hands-on experience with Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, monitoring, and logging frameworks.
Data & Enterprise Integration
Experience integrating enterprise data sources, APIs, databases, and document repositories.
Knowledge of data processing, ETL patterns, authentication, authorization, and enterprise security controls.
Professional Competencies
Prompt Engineering: Design effective system prompts, instructions, structured output templates, and evaluation-driven prompt improvements for accuracy, consistency, and cost efficiency.
AI Safety, Governance & Responsible AI: Implement AI guardrails, content safety controls, privacy practices, responsible AI workflows, human-in-the-loop review patterns, and hallucination mitigation through grounding and validation.
System Evaluation & Monitoring: Establish evaluation frameworks to measure accuracy, relevance, latency, cost, hallucination rates, and user satisfaction. Monitor production systems and continuously optimize performance.
Communication & Collaboration: Translate complex AI concepts into business-focused solutions and collaborate effectively with product managers, data scientists, cloud engineers, security teams, and stakeholders.
Technology Stack
Language: Python
Cloud: Azure
AI Services: Azure OpenAI, Azure AI Foundry, Azure AI Search
Frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel
Vector Stores: Pinecone, Weaviate, Chroma, Azure AI Search, FAISS
Containers: Docker, Kubernetes, AKS
DevOps: GitHub Actions, Azure DevOps
Monitoring: Azure Monitor, Application Insights
Databases: MongoDB, PostgreSQL, SQL Server
AI Services,Application Insights,AI,AKS,UI development,Containers: Docker,Generative AI,Knowledge graphs,Healthcare AI,Kubernetes,Cloud: Azure,Azure,Azure DevOps,SQL Server,Databases: MongoDB,multi-agent,PostgreSQL,Python,AI Search,Agentic AI,AI transformation,Responsible AI,finance,Logistics,MS Teams,Foundry,operational analytics,safety,Semantic
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
