Job Summary (AI Engineer)
Location : Charlotte, NC or Dallas, TX and available for onsite interview
Locals Only
Moi: onsite interview
- Build and deploy AI applications leveraging foundation models and GenAI techniques (Agentic RAG, KG-RAG)
- Develop autonomous agents using modern agentic frameworks
- Implement MCP integrations and Python-based full-stack solutions
- Create scalable REST APIs and deploy AI workloads on major cloud platforms (AWS, Azure, or GCP)
- Apply LLMOps/MLOps best practices for CI/CD automation and AI system monitoring
- Mentor team members and promote innovation in embeddings, knowledge graphs, and ontology extraction
- Conduct advanced statistical and graph data analysis, and work on NLP-focused solutions
- Collaborate across teams, demonstrating strong communication and problem-solving skills
- Perform all work fully onsite in Charlotte, NC or Dallas, TX (5 days/week)
Required Qualifications
- Bachelor’s degree or higher in Computer Science, AI/ML, or related field
- 5+ years of AI/ML-focused software engineering experience
- Hands-on production experience with LLMs, agentic systems, and advanced RAG
- Deep MCP expertise and expert-level Python skills (no Java)
- Experience building and scaling embeddings, knowledge graphs, and ontologies
- Full-stack development skills: Python backend and modern frontend frameworks
- Proficient in deploying AI solutions on major clouds (AWS, Azure, GCP)
- Familiarity with LLMOps/MLOps tools and practices
Other Details
- 6-month onsite contract (potential for extension)
