Sr. AI/ML Engineer - GenAI & Cognitive Platforms

Iconma LLC

  • Charlotte, NC
  • 13 days ago

    Highlights

    GitLab CI (or similar), environment management Experience mentoring or leading offshore engineers Strong verbal and written communication Tech Stack Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM, etc.,) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search Experience building internal engineering platforms or cognitive/AI platforms Dynatrace or similar APM (DQL queries, alerting, SLOs) Terraform for infrastructure-as-code Security engineering. 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.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    Our Client, an IT Services and Consultant company, is looking for a Sr. AI/ML Engineer - GenAI & Cognitive Platforms for their Charlotte, NC /Hybrid location.

    Responsibilities:

    • You will spend the majority of your time building AI-powered capabilities on internal platforms - our 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.

    Requirements:

    • 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
    • 12+ 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 Tech Stack Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM, etc.,) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search 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
    • Years of Experience: 10+ Years of Experience

    Why Should You Apply?

    • Health Benefits
    • Referral Program
    • Excellent growth and advancement opportunities

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