GenAI Developer / Business Analyst

Top Selection

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Top Selection seeks a Senior GenAI Developer / Business Analyst to design and deploy AI agents and multi-agent systems, focusing on automation and integration with internal services via REST APIs and OAuth2.

You will build RAG pipelines, manage data from external sources, and deploy open-source LLMs in a secure corporate setting, using PostgreSQL and vector databases to formalize business requirements and ensure data protection compliance.

Qualifications

  • Experience designing AI agents and multi-agent systems.
  • Strong skills in JavaScript, TypeScript and Python.
  • Experience with REST APIs and OAuth2 integration.

Responsibilities

  • Develop AI agents and multi-agent systems to automate workflows.
  • Leverage tools to create automations and workflows using platforms like n8n and Flowise.
  • Integrate internal services via REST APIs and OAuth2.
  • Build RAG pipelines and manage data from external sources.

Skills

GenAI solutions
JavaScript
TypeScript
Python
REST APIs
OAuth2
RAG pipelines
Data integration
Multi-agent systems

Tools

n8n
Flowise
PostgreSQL
Vector databases
Open-source LLMs

Job description

Top Selection seeks a Senior GenAI Developer / Business Analyst to create AI agents and multi-agent systems, focusing on automation and integration with internal services. Ideal candidates have experience in GenAI solutions and strong skills in JavaScript, TypeScript, and Python.

In this role, you will develop AI agents and multi-agent systems, leveraging tools to create automations and workflows using platforms like n8n and Flowise. The position requires a strong grasp of business logic and the ability to integrate with internal services through REST APIs and OAuth2.

Success in this position involves building RAG pipelines, managing data from external sources, and deploying open-source LLMs in a secure corporate setting. You will work with technologies such as PostgreSQL and vector databases, contributing to the formalization of business requirements and ensuring compliance with data protection principles.

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