What are the responsibilities and job description for the Sr. Associate position at Lorven Technologies, Inc.?
Hi
Our client is looking for a Sr. Associate project in Charlotte, NC below is the detailed requirement.
Job positing Title: Sr. Associate
Location: Charlotte, NC
Location: Charlotte, NC
Required Skills: FastAPI, Pydantic, boto3,TypeScript (React, Node.js),AI/ML
Job description:
• Bachelor’s degree in related field
• 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 | Ally AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/DeepSeek
• 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 | Ally AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/DeepSeek