GenAI EngineerVision Square INC • McLean, VA, United States
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GenAI Engineer
Vision Square INC • McLean, VA, United States
[job_card.variable_days_ago]
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- [job_card.full_time]
[job_card.job_description]Strong 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.
Job Title : GenAI Engineer
Location : McLean, VA (Onsite)
Job type : Contract
MOI : F2F
Key Responsibilities
- Develop, 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 & Qualifications
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