Gen AI Developer

Veriipro; Minneapolis (MN); On-site; USD 90,000 - 120,000; Full time

Job summary

Veriipro is seeking a Gen AI Developer to design and implement agentic AI systems and enterprise-grade applications. Candidates should have strong programming experience in Python and Java, as well as expertise in frameworks like LangChain and LangGraph.

The successful applicant will build multi-agent workflows and optimize RAG pipelines. You'll be developing both backend and interactive front-end applications using technologies including React JS. Join us to create intelligent automation solutions for various enterprise challenges.

Qualifications

• Strong programming experience in Python and Java (Spring Boot).
• Hands-on experience with agentic AI frameworks such as LangChain and LangGraph.
• Expertise in designing and implementing RAG pipelines using Azure AI Search.

Responsibilities

• Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols.
• Build and optimize RAG pipelines using enterprise search and vector databases.
• Develop and integrate backend services using Java Spring Boot and REST APIs.

Skills

Python

Java (Spring Boot)

LangChain

LangGraph

Azure AI Search

OpenAI integration

PGVector

ChromaDB

React JS

API design

Job description

Job Summary

Seeking a Gen AI Developer with strong experience in building agentic AI systems, RAG-based architectures, and enterprise-grade AI applications. The role involves designing multi-agent workflows, integrating LLMs, and developing full-stack AI solutions using Python, Java Spring Boot, and React JS.

Required Skills

• Strong programming experience in Python and Java (Spring Boot).
• Hands‑on experience with agentic AI frameworks such as LangChain and LangGraph.
• Expertise in designing and implementing RAG pipelines using Azure AI Search.
• Experience integrating OpenAI or other LLM platforms for reasoning and generation tasks.
• Knowledge of vector databases such as PGVector and ChromaDB.
• Front‑end development experience using React JS.
• Understanding of API design, backend services, and distributed AI systems.

Responsibilities

• Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols.
• Build and optimize RAG pipelines using enterprise search and vector databases.
• Develop and integrate backend services using Java Spring Boot and REST APIs.
• Create responsive and interactive front‑end applications using React JS.
• Implement and integrate LLM‑based capabilities for intelligent automation and decision‑making.
• Design and orchestrate multi‑agent workflows for enterprise use cases.
• Ensure scalability, performance, security, and reliability of AI‑driven applications.
• Collaborate with stakeholders to translate business requirements into AI solutions.

Preferred

• Experience with multi‑agent orchestration frameworks and advanced AI systems.
• Exposure to Azure cloud AI services and enterprise AI architecture.
• Knowledge of AI governance, monitoring, and evaluation frameworks.