Generative AI Engineer
United States of America
Full Time
5 hours ago
Visa Sponsor
Key skills
PythonLarge Language Models (LLMs)OpenAI GPTLlamaClaudeGeminiMistralLangChainLangGraphLlamaIndexSemantic KernelRetrieval-Augmented Generation (RAG)EmbeddingsPrompt EngineeringVector DatabasesPineconeChromaDBFAISSWeaviateMilvusREST APIsFastAPIFlaskDjangoDockerKubernetesGitCI/CD pipelinesSQLNoSQLAIArtificial IntelligenceMachine LearningComputer VisionGenerative AILLMLarge Language ModelsOpenAIRAGAgenticMLOpsMLflowAWSAzureSageMakerBedrockVertex AIRESTfulCI/CDCommunication
About this role
ShrinQ Consulting Group Inc. is a leading technology consulting and staffing firm delivering cutting-edge AI solutions to enterprise clients. They are seeking a passionate Generative AI Engineer to design and build next-generation AI-powered applications using Large Language Models (LLMs) and modern AI frameworks.
Responsibilities:
- Design, develop, and deploy Generative AI applications using modern LLM frameworks
- Build AI assistants, chatbots, copilots, and intelligent automation solutions
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
- Develop AI agents capable of multi-step reasoning, workflow automation, and tool integration
- Integrate foundation models through APIs and open-source models
- Fine-tune, evaluate, and optimize language models for business-specific use cases
- Develop secure RESTful APIs and backend services for AI applications
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise platforms
- Monitor model performance, latency, cost, and reliability in production
- Stay current with the latest advancements in Generative AI, Agentic AI, LLMOps, and AI infrastructure
Requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 3+ years of experience in software engineering, machine learning, or AI development
- Strong programming skills in Python
- Experience with Large Language Models (LLMs) such as OpenAI GPT, Llama, Claude, Gemini, or Mistral
- Hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel
- Knowledge of Retrieval-Augmented Generation (RAG), embeddings, prompt engineering, and vector databases
- Experience with vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus
- Experience building REST APIs using FastAPI, Flask, or Django
- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines
- Strong analytical, communication, and problem-solving skills
- Experience with AI orchestration platforms, MCP (Model Context Protocol), and agent frameworks
- Knowledge of MLOps/LLMOps tools such as MLflow, LangSmith, Weights & Biases, or Azure AI Foundry
- Experience with cloud AI platforms including AWS Bedrock, Azure OpenAI Service, Azure AI Studio, Google Vertex AI, or Amazon SageMaker
- Familiarity with SQL, NoSQL, and graph databases
- Experience with multimodal AI, computer vision, speech-to-text, or document intelligence
- Contributions to open-source AI projects or published AI research are a plus
- Relevant AI or cloud certifications are preferred