Generative AI Engineer
Dallas, TX (On-Site)
Job Description:
Job Description:
Key Responsibilities:
Build and optimize RAG (Retrieval-Augmented Generation) pipelines
Perform prompt engineering, fine-tuning, and model evaluation
Integrate GenAI models with enterprise applications and APIs
Deploy and scale AI solutions on AWS / Azure / GCP
Work with vector databases (FAISS, Pinecone, Chroma, etc.)
Ensure security, performance, and cost optimization of AI solutions
Collaborate onsite with cross-functional teams (Product, Data, Engineering)
Required Skills & Qualifications:
Strong proficiency in Python
Hands-on experience with LLMs and Generative AI frameworks (LangChain, LlamaIndex, Hugging Face)
Experience with prompt engineering, embeddings, vector search
Knowledge of REST APIs, microservices
Experience with cloud platforms (AWS, Azure, or GCP)
Strong understanding of ML, NLP, and deep learning concepts
Excellent communication and collaboration skills
Preferred Qualifications:
Experience deploying GenAI solutions in production environments
Knowledge of MLOps, CI/CD pipelines
Exposure to chatbot or virtual assistant development
Prior experience in enterprise or consulting environments
Key Skills:
- LLMs (OpenAI, Azure OpenAI, Anthropic, Hugging Face)