GenAI Engineer (McLean) at Vision Square INC

Job Title: GenAI Engineer Location: McLean, VA (Onsite) Job type: ContractMOI: F2F Key ResponsibilitiesDevelop, fine-tune, and optimize Large Language Models (LLMs) and other generative models (text, image, audio, and multimodal).Build production-grade GenAI applications, including chatbots, copilots, automation tools, and content-generation systems.Integrate LLMs with backend systems, APIs, databases, and enterprise platforms.Implement retrieval-augmented generation (RAG) pipelines using vector databases and embedding models.Evaluate model performance, run experiments, and improve accuracy, relevance, and latency.Create prompts, prompt frameworks, and prompt-engineering guidelines for different use cases.Develop model safety, guardrails, and security controls to ensure responsible use of AI.Collaborate with data engineers, software developers, and product stakeholders to deliver scalable AI solutions.Maintain documentation, best practices, and technical guidance for AI platforms.Required Skills & QualificationsStrong experience with LLMs, generative AI frameworks, and transformer-based architectures.Hands-on knowledge of tools such as:OpenAI API, Azure OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, Vertex AI, or similar.Proficiency in Python and ML/AI libraries (PyTorch, TensorFlow, Transformers).Experience building RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and embeddings.Understanding of machine learning workflows, including fine-tuning, evaluation, and deployment.Ability to work with unstructured data (text, documents, images, audio).Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).Strong problem-solving, experimentation, and communication skills.