Junior AI Engineer: RAG & LLM Workflow Builder

Jobtailor; Atlanta (GA); On-site; USD 130,000 - 180,000; Full time

Job summary

Jobtailor is seeking a Senior AI Engineer to add AI capabilities, LLM-powered features, workflows, and interfaces to existing full-stack applications. You will build and improve retrieval-augmented generation systems, manage context windows across documents and images, and design agentic workflows with multi-step LLM pipelines and tool orchestration.

You will write clean, testable services, translate workflow needs from cross-functional teams into concrete problems, and take sprint tasks on

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, Engineering, or a related field.
• Solid software engineering fundamentals in Node.js and TypeScript, including REST APIs, async and promise-based concurrency, and a testing framework such as Jest or Vitest, plus git proficiency.
• Experience with LLM APIs such as OpenAI or Anthropic, including function calling and tool use, structured outputs, streaming responses, and token/context-window management.
• Exposure to cloud infrastructure, ideally AWS, including Bedrock, Bedrock AgentCore, and Knowledge Bases for Bedrock.
• Hands-on experience building a real LLM project, prototype, or shipped feature, with end-to-end evaluation pipelines.

Responsibilities

• Add AI capabilities, LLM-powered features, workflows, and interfaces to existing full-stack applications.
• Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer.
• Develop chunking and embedding strategies and evaluate retrieval quality.
• Manage context windows and model inputs across text, documents, and images.
• Help design agentic workflows involving multi-step LLM pipelines, tool use, and orchestration.
• Prompt-engineer and evaluate LLM workflows.
• Write clean, testable services and data pipelines moving information between systems.
• Translate workflow needs from investment and operations colleagues into concrete technical problems.
• Take sprint tasks directly, contribute to active RAG or agentic workflow projects, and increasingly own workflow components.
• Contribute hands-on to evaluation and testing pipelines.
• Work on a small embedded technology team and apprentice closely with a Senior AI Engineer.

Skills

Node.js Development

TypeScript Programming

LLM API Experience

Retrieval-Augmented Generation (RAG)

Cloud Infrastructure (AWS)

Software Testing (Jest/Vitest)

Prompt Engineering

Model Context Management

AI-Native Development Tools

Education

Bachelor’s or Master’s in Computer Science, AI/ML, Engineering, or a related field

Tools

AWS Amplify

OpenAI

Anthropic

Claude Code

Cursor

Promptfoo

Braintrust

Ragas

Job description

Jobtailor is seeking a Senior AI Engineer to add AI capabilities, LLM-powered features, workflows, and interfaces to existing full-stack applications. You will build and improve retrieval-augmented generation systems, manage context windows across documents and images, and design agentic workflows with multi-step LLM pipelines and tool orchestration.

You will write clean, testable services, translate workflow needs from cross-functional teams into concrete problems, and take sprint tasks on