Why This Role Stands Out
This Sr. AI Engineer role offers an exciting opportunity to build transformative AI capabilities and gain hands-on experience with cutting-edge technologies, all within a hybrid work environment. If you possess a strong AI/ML engineering background and a passion for innovation, you'll thrive in this position contributing to a company at the forefront of cognitive engineering. Apply now to shape the future of engineering operations!
Quick Overview
Job Description
Title: Sr.AI Engineer
Location: Charlotte, NC (Onsite/Hybrid)
Note: BGV must be fully cleared for onboarding
W2 ONLY
Required Skills
- FastAPI, Pydantic, boto3
- TypeScript (React, Node.js)
- Strong AI/ML
Overview
Position focused primarily on AI and Cognitive Engineering. You will spend the majority of your time building AI-powered capabilities on internal platforms — a cognitive layer that is transforming how engineering teams operate. The remaining time supports production infrastructure and release processes, ensuring you stay grounded in the systems your AI work automates. This role requires a strong AI/ML engineering mindset with enough operational context to build effective automation.
What You Bring
- 10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems
- Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js)
- Strong AI/ML experience — LLM APIs, prompt engineering, RAG architectures, embeddings, vector search
- Experience building AI pipelines — model orchestration, token management, confidence scoring, intelligence buildouts
- AWS fundamentals — ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridge
- CI/CD pipeline experience — GitLab CI (or similar), environment management
- Experience mentoring or leading offshore engineers
- Strong verbal and written communication
Nice to Have
- Experience building internal engineering platforms or cognitive/AI platforms
- Dynatrace or similar APM (DQL queries, alerting, SLOs)
- Terraform for infrastructure-as-code
- Security engineering — SAST/DAST, container scanning, IAM policy design
- Financial services / regulated environment experience
- Claude Code, GitHub Copilot, or AI-assisted development workflows
- Event-driven architectures (EventBridge, SQS, SNS)
- Production on-call SRE experience
Tech Stack
Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/DeepSeek
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