AI Engineer Location: McLean, VA Job Type: Full-Time Experience: 5+ Years Job Summary We are looking for an experienced AI Engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions. The ideal candidate will have strong hands-on experience with Python, Machine Learning, LLMs, RAG, AI/ML frameworks, cloud platforms, and production AI systems.

Key Responsibilities

Design, develop, test, and deploy production-grade AI/ML and Generative AI solutions. Build and integrate LLM-based applications, RAG pipelines, embeddings, vector databases, and AI agents. Develop and optimize machine learning models using Python, PyTorch, TensorFlow, or Scikit-learn. Implement prompt engineering, model evaluation, fine-tuning, and inference optimization techniques. Develop scalable data and ML pipelines for data ingestion, transformation, training, and model deployment. Deploy AI solutions using AWS, Azure, or GCP and modern DevOps/MLOps practices. Build APIs and microservices to integrate AI capabilities with enterprise applications. Monitor model performance, accuracy, latency, scalability, and production reliability. Collaborate with data scientists, software engineers, architects, and business teams to deliver AI solutions. Required Skills 5+ years of experience in AI/ML Engineering, Machine Learning, or Data Science. Strong programming experience with Python. Hands-on experience with Generative AI, LLMs, RAG, embeddings, and vector databases. Experience with PyTorch, TensorFlow, Scikit-learn, or similar ML frameworks. Experience with LangChain, LlamaIndex, LangGraph, or similar LLM frameworks. Strong understanding of NLP, machine learning, deep learning, and model evaluation. Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of Docker, Kubernetes, CI/CD, APIs, and MLOps. Strong SQL and data engineering fundamentals. Excellent problem-solving and communication skills. Preferred Skills Experience with AWS Bedrock, Azure OpenAI, OpenAI APIs, or Hugging Face. Experience with Pinecone, FAISS, Weaviate, OpenSearch, or other vector databases. Experience with AI agents, tool/function calling, and workflow automation. Knowledge of responsible AI, security, governance, and observability. Experience working in Agile/enterprise environments. Education Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field preferred. Experience: 4 years required