Generative Ai Engineer
Enterprise Solutions Inc.
Job description
Title: Generative AI Engineer
Location: Charlotte NC, Raleigh NC, Dallas TX
Position: Longterm Contract
Role Overview:
We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Gen AI frameworks, along with expertise in building scalable AI applications.
Key Responsibilities:
Design and implement Generative AI models for text, image, or multimodal applications.
Develop prompt engineering strategies and embedding-based retrieval systems.
Integrate Gen AI capabilities into web applications and enterprise workflows.
Build agentic AI applications with context engineering and MCP tools.
Required Skills & Qualifications:
Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
Hands-on experience with LLMs, transformers, and Hugging Face ecosystem.
Knowledge and experience with vector databases and RAG technique for semantic search.
Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, GCP Vertex AI).
Understanding of MLOps practices for scalable AI deployment.
Preferred Qualifications:
Knowledge of AI ethics, bias mitigation, and responsible AI practices.
Category Role Key Responsibilities Core Skills
AI/ML Engineering AI Engineer – LLM/VLM Production Operate scalable LLM/Vision Language Model services; build evaluation pipelines; manage prompts, safety and SLOs. Python, ML/AI, CI/CD, Docker/Kubernetes, observability, compliance mindset
ML Engineer – NLP & Knowledge Graphs Deliver NLP pipelines; embeddings; support Knowledge Graph construction; deploy reliable services. Python, transformers/spaCy, embeddings, Neo4j Python API, CI/CD, Docker/Kubernetes
AI/ML Engineer – LLM Evaluation & Prompt Engineering Design evaluation harnesses; build datasets/ground truth; develop prompt libraries; support agentic workflows. Python, ML/AI, evaluation frameworks, prompt engineering, CI/CD, Docker/Kubernetes
Generative AI Engineer Design/deploy GenAI models; prompt strategies; RAG; multi-agent systems; integrate into enterprise workflows. Python, PyTorch/TensorFlow, LLMs, Hugging Face, vector DBs, cloud AI services
Nitin Gupta
Sr. Technical Recruiter
Work Phone: +1 (469) 898-4780
Email: niting@enterprisesolutioninc.com