AI Developer

Jobtailor; Georgia; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in Georgia is seeking a senior full-stack engineer to design, implement, and own multi-step agentic flows using LangChain, LangGraph, and related technologies. You will build tools and interfaces that connect live data sources, deploy AI services on AWS or Azure, and surface outputs through React UIs while ensuring observability and robust prompt management.

The role demands deep Python and TypeScript skills, production-grade experience, and the ability to ship features end-to-end in a

Qualifications

• 6+ years of full-stack development experience.
• Hands‑on, production‑grade experience with LangChain and LangGraph or similar in production.
• Strong Python for AI/backend work and TypeScript/React for frontend.
• Experience integrating LLMs via API (Bedrock, GCP Agent Platform, or similar).
• Familiarity with vector stores, RAG pipelines, and structured output parsing.
• Comfort working in a fast‑moving startup environment where you own your features end‑to‑end.

Responsibilities

• Design, implement, and own multi-step agentic flows using LangChain, LangGraph, and similar.
• Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds).
• Integrate LLMs into reliable, observable pipelines.
• Own prompt engineering, context management, and output validation.
• Experience working in large-scale and big data environments.
• Deploy and monitor AI services on AWS or Azure.
• Instrument flows with logging and tracing so we can debug and improve them.
• Build React interfaces that surface AI outputs: summaries, alerts, recommendations, and interactive co-pilot features.
• Connect frontend components to streaming AI responses.
• Write clean, maintainable TypeScript code.

Skills

LangChain

LangGraph

Python

TypeScript

React

API integration

Vector stores

RAG pipelines

Prompt engineering

Logging & tracing

Tools

AWS

Azure

Job description

Responsibilities

• Design, implement, and own multi-step agentic flows using LangChain, LangGraph, and similar.
• Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds).
• Integrate LLMs (Claude, GPT, Gemini, etc.) into reliable, observable pipelines.
• Own prompt engineering, context management, and output validation.
• Experience working in large-scale and big data environments.
• Deploy and monitor AI services on AWS or Azure.
• Instrument flows with logging and tracing so we can debug and improve them.
• Build React interfaces that surface AI outputs: summaries, alerts, recommendations, and interactive co-pilot features.
• Connect frontend components to streaming AI responses.
• Write clean, maintainable TypeScript code.

Requirements

• 6+ years of full-stack development experience.
• Hands‑on, production‑grade experience with LangChain and LangGraph or similar agentic orchestration in production, not just tutorials.
• Strong Python for AI/backend work and TypeScript/React for frontend.
• Experience integrating LLMs via API (Bedrock, GCP Agent Platform, or similar).
• Familiarity with vector stores, RAG pipelines, and structured output parsing.
• Comfort working in a fast‑moving startup environment where you own your features end‑to‑end.