24 days ago

AI Solutions Engineer

BeGig

Hybrid
Part Time
$120,000
Hybrid
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Job Overview

Job TitleAI Solutions Engineer
Job TypePart Time
Offered Salary$120,000
LocationHybrid

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Job Description

About BeGig

BeGig connects innovative founders with top freelance tech talent, matching experts with high-impact, real-world projects.

Your Opportunity

As an AI Solutions Engineer, you’ll build and deploy production-ready AI solutions using LLMs and enterprise integrations. You’ll work on intelligent systems that automate workflows, power chat and voice interfaces, and integrate seamlessly with business platforms.

What You’ll Do

  • Build LLM-based applications using GPT APIs, LangChain, and RAG
  • Integrate AI solutions with enterprise platforms (Procore, Autodesk, Primavera, Microsoft Graph APIs)
  • Automate workflows using Zapier, n8n, or Make
  • Develop backend services in Python/Node.js and frontend interfaces in React/Next.js
  • Build secure, scalable systems with OAuth2, MFA, RBAC, and SSO
  • Create chat and voice AI experiences using Whisper, Twilio, and real-time APIs

What We’re Looking For

  • 5+ years of experience in AI/ML or LLM-based application development
  • Strong hands-on experience with LLMs, RAG, and enterprise integrations
  • Solid full-stack skills and a strong focus on security and scalability
  • A self-driven engineer who delivers end-to-end AI solutions

Why BeGig

  • Work on cutting-edge AI and LLM projects
  • Fully remote, flexible freelance opportunities
  • Access to ongoing, high-impact engagements
Apply now to join BeGig as an AI Solutions Engineer.

Key skills/competency

  • AI Solutions Engineer
  • LLMs
  • RAG
  • LangChain
  • Python
  • Node.js
  • React
  • Next.js
  • Enterprise Integration
  • Full-Stack Development

Tags:

AI Solutions Engineer
LLM
RAG
LangChain
Python
Node.js
React
Full-Stack
Freelance
Remote

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How to Get Hired at BeGig

  • Tailor your resume: Highlight AI, LLM, RAG, and full-stack experience.
  • Showcase projects: Detail end-to-end AI solutions you've built.
  • Emphasize skills: Focus on Python, Node.js, React, and security.
  • Apply directly: Submit your application through the BeGig platform.
  • Prepare for interviews: Discuss your experience with LLM integration and scalability.

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