AI Engineer with Python

Apptad Inc; Forest Hill (TX); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Apptad Inc. in Forest Hill, TX is seeking an experienced AI agent developer to design and build multi-agent systems using LangGraph, LangChain, and related tools. You will craft prompts, orchestrate tool calls, and implement RAG workflows within production-grade Python/TypeScript services.

You'll integrate AI agents with Java Spring Boot microservices via REST and event-driven patterns, ensuring scalable, reliable AI applications. Hybrid work includes in-office Tue–Thu with remote Mon/Fri.

Qualifications

• 5+ years of software development experience.
• 2+ years Agentic AI development with LangGraph, LangChain, Semantic Kernel, or similar frameworks.
• Strong understanding of prompt engineering, tool calling, agent orchestration, and LLM workflows.
• Strong proficiency in Python and JavaScript/TypeScript.
• Good working knowledge of Java and Spring Boot.
• Strong understanding of microservices architecture, REST APIs, and event-driven design.
• Experience integrating AI solutions with enterprise applications.

Responsibilities

• Design and develop AI agents using LangGraph, LangChain, or similar frameworks.
• Build multi-agent workflows, tool integrations, and RAG solutions.
• Develop AI services and APIs using Python and JavaScript/TypeScript.
• Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures.
• Design prompts, tool-calling workflows, memory, and agent orchestration.
• Build reliable, scalable, and production-ready AI applications.

Skills

5+ years

Agentic AI development

LangGraph

LangChain

Prompt engineering

Tool calling

LLM workflows

Python

JavaScript/TypeScript

Java

Spring Boot

Microservices

REST APIs

Event-driven design

Docker

Kubernetes

Git

Java Spring Boot integration

Tools

LangGraph

LangChain

Semantic Kernel

OpenAI

Claude

Gemini

Pinecone

pgvector

Weaviate

ChromaDB

FAISS

Docker

Kubernetes

Git

Spring Boot

Job description

Additional Details

There will be one round onsite interview for this job posting.

Hands on experience with AI is important

Candidate will work Tuesdays - Thursdays in office. Virtual Mondays/Fridays

About the Role

The role focuses on developing AI solutions using Python and JavaScript/TypeScript with modern agent orchestration frameworks such as LangGraph and LangChain .

Experience

• 5+ years of software development experience.
• 2+ years Agentic AI Development experience, hands-on experience building AI agents using LangGraph , LangChain , Semantic Kernel, or similar frameworks.
• Strong understanding of prompt engineering, tool calling, agent orchestration, and LLM workflows
• Strong proficiency in Python and JavaScript/TypeScript
• Good working knowledge of Java and Spring Boot
• Strong understanding of microservices architecture, distributed systems, REST APIs, and event-driven design.
• Experience integrating AI solutions with enterprise applications.

Responsibilities

• Design and develop AI agents using LangGraph , LangChain , or similar frameworks.
• Build multi-agent workflows, tool integrations, and RAG solutions.
• Develop AI services and APIs using Python and JavaScript/TypeScript .
• Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures.
• Design prompts, tool-calling workflows, memory, and agent orchestration.
• Build reliable, scalable, and production-ready AI applications.

Required Technical Skills

• Python (required++)
• JavaScript / TypeScript
• Java
• Spring Boot (optional)
• LangGraph (required++)
• LangChain (required ++)
• OpenAI, Claude, Gemini, or similar LLMs (anyone is ok)
• Prompt Engineering
• Tool Calling / Function Calling
• RAG
• Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar)
• REST APIs
• Docker
• Kubernetes
• Git
• Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures.

Additional Skills Plus

• MCP (Model Context Protocol) or AI tool integration.
• Agent evaluation, tracing, and observability.
• Experience building production AI applications at scale.
• Airline or travel industry experience.