AI Engineer, AI Agents

Tasks

• Design, build, test, deploy, and continuously improve production-grade AI agents, RAG pipelines, and orchestration services for the Quality Engineering AI Center of Excellence.
• Develop AI capabilities supporting requirements review, code quality, test preparation, execution intelligence, defect triage, release assurance, and engineering productivity.
• Develop and deploy AI agents across requirements, code quality, test design, automation, execution, defect analysis, release assurance, and QE intelligence.
• Build grounded RAG pipelines using Jira, Confluence, Git repositories, test assets, defects, incidents, and application documentation.
• Implement workflows coordinating multiple AI agents, tools, APIs, and Human-in-the-Loop approvals across SDLC processes.
• Develop APIs and microservices and integrate solutions with GitHub/GitLab, Azure DevOps, CI/CD tools, ServiceNow, monitoring platforms, and test-management applications.
• Improve prompts, chunking, embeddings, retrieval, reranking, model selection, latency, groundedness, accuracy, and token consumption.
• Containerize and deploy solutions through secure CI/CD pipelines and implement logging, evaluation, observability, feedback, reliability, and production-readiness controls.

Requirements

• 3-8 years of software engineering or AI engineering experience with strong Python programming skills.
• Hands-on experience building LLM or Generative AI applications using Agentic AI, RAG, embeddings, vector databases, semantic search, prompt engineer

Schedule

• 6+ Months Contract (W2 Contract)
• Onsite

Location

• Atlanta, GA