What are the responsibilities and job description for the Full-Time- AI Engineer Opportunity | GenAI, LLM, AWS | Hybrid – Charlotte, NC position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SKANDA SOLUTIONS LLC, is seeking the following. Apply via Dice today!
Senior AI Engineer – Generative AI & LLMs
Charlotte, NC (Hybrid) | Full-Time
Experince- 15 Years
We are hiring a Senior AI Engineer with strong expertise in Generative AI, LLMs, Prompt Engineering, RAG, Agentic AI, Python, and AWS. The ideal candidate will have hands-on experience building and deploying enterprise-scale AI solutions from concept to production.
Required Skills:
Design and deploy enterprise AI applications using GenAI and LLM technologies.
Build RAG-based solutions, AI Assistants, and Agentic AI workflows.
Develop scalable AI infrastructure on AWS.
Implement model monitoring, evaluation, observability, and governance.
Collaborate with business and engineering teams to deliver production-ready AI solutions.
Target Titles:
Senior AI Engineer
Generative AI Engineer
LLM Engineer
Applied AI Engineer
Machine Learning Engineer (GenAI)
AI Solutions Architect
Senior AI Engineer – Generative AI & LLMs
Charlotte, NC (Hybrid) | Full-Time
Experince- 15 Years
We are hiring a Senior AI Engineer with strong expertise in Generative AI, LLMs, Prompt Engineering, RAG, Agentic AI, Python, and AWS. The ideal candidate will have hands-on experience building and deploying enterprise-scale AI solutions from concept to production.
Required Skills:
- 5 years of Python development experience
- 3 years in AI/ML and Data Science
- 2 years working with LLMs and Generative AI
- Strong Prompt Engineering and RAG experience
- Agentic AI frameworks (LangGraph, LangChain, CrewAI, AutoGen, etc.)
- AWS Cloud (Bedrock, Lambda, S3, ECS/EKS, OpenSearch, DynamoDB)
- Vector Databases, Embeddings, Semantic Search
- Terraform / Infrastructure as Code
- MLOps / LLMOps, CI/CD, Monitoring & Deployment
- Amazon Bedrock, OpenAI APIs, LlamaIndex, Hugging Face
- Financial Services or Enterprise Environment Experience
- Experience building AI Copilots, Autonomous Agents, and Conversational AI Solutions
Design and deploy enterprise AI applications using GenAI and LLM technologies.
Build RAG-based solutions, AI Assistants, and Agentic AI workflows.
Develop scalable AI infrastructure on AWS.
Implement model monitoring, evaluation, observability, and governance.
Collaborate with business and engineering teams to deliver production-ready AI solutions.
Target Titles:
Senior AI Engineer
Generative AI Engineer
LLM Engineer
Applied AI Engineer
Machine Learning Engineer (GenAI)
AI Solutions Architect