Junior AI Engineer: LLM Pipelines & RAG Solutions

Jobtailor; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking a Senior AI Engineer to add AI capabilities to existing applications and drive RAG-based enhancements. You will work on multi-step LLM pipelines, tool orchestration, and evaluation pipelines while collaborating with a small embedded tech team. Strong Node.js/TypeScript and AWS exposure are required.

The role emphasizes hands-on development of scalable data pipelines, prompt design, and metrics-driven improvements within 90 days and beyond.

Qualifications

• Strong software engineering fundamentals with Node.js and TypeScript.
• Experience with REST APIs and async/concurrency patterns.
• Familiarity using Git and cloud infrastructure (AWS).
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.).
• Experience designing LLM-in-the-loop evaluation and testing pipelines.
• Exposure to AWS AI services such as Bedrock and Knowledge Bases for Bedrock.
• Ability to measure prompt, retrieval, and model changes using evaluation scores.
• Comfort with prompts, tool use, and structured outputs.

Responsibilities

• Add AI capabilities to existing full-stack applications, including LLM-powered features, workflows, and interfaces.
• Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer
• Develop chunking and embedding strategies, retrieval-quality processes, and evaluations
• 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
• Translate investment and operations workflow needs into concrete technical problems
• Take sprint tasks directly within 90 days and contribute to active RAG or agentic workflow projects
• Assume increasing ownership of a RAG or agentic workflow component and contribute to evaluation and testing pipelines within one year
• Work closely with a Senior AI Engineer on a small embedded technology team

Skills

Node.js

TypeScript

LLM APIs

AWS AI Services

RAG Systems

REST APIs

Testing Frameworks

Tool Use

Context-Window Management

Tools

Git

AWS

Promptfoo

Braintrust

Ragas

Claude Code

Cursor

OpenAI API

Bedrock

Knowledge Bases for Bedrock

Job description

Jobtailor is seeking a Senior AI Engineer to add AI capabilities to existing applications and drive RAG-based enhancements. You will work on multi-step LLM pipelines, tool orchestration, and evaluation pipelines while collaborating with a small embedded tech team. Strong Node.js/TypeScript and AWS exposure are required.

The role emphasizes hands-on development of scalable data pipelines, prompt design, and metrics-driven improvements within 90 days and beyond.