AI Solutions Engineer(Freelance | WFH)
BeGig · India
- Hybrid
- Part-time
- $120,000 / year
- India
Job highlights
- Build and deploy AI solutions using LLMs.
- Integrate AI with enterprise platforms.
- Automate workflows with various tools.
- Develop backend and frontend services.
- Focus on security and scalability.
About the role
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
Key skills/competency
- AI Solutions Engineer
- LLMs
- RAG
- LangChain
- Python
- Node.js
- React
- Next.js
- Enterprise Integration
- Full-Stack Development
Skills & topics
- AI Solutions Engineer
- LLM
- RAG
- LangChain
- Python
- Node.js
- React
- Full-Stack
- Freelance
- Remote
How to get hired
- 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.
Technical preparation
Master LLM APIs and RAG principles.,Practice enterprise system integrations.,Build Python/Node.js backend services.,Develop React/Next.js frontend interfaces.
Behavioral questions
Describe your experience building end-to-end AI solutions.,How do you ensure security and scalability in your projects?,Discuss a challenging LLM integration you've overcome.,How do you manage your time as a freelance engineer?
Frequently asked questions
- What is BeGig seeking in an AI Solutions Engineer candidate?
- BeGig is looking for an AI Solutions Engineer with over 5 years of experience in AI/ML or LLM-based application development. Candidates should have strong hands-on experience with LLMs, RAG, and enterprise integrations, along with solid full-stack skills. A self-driven attitude focused on security and scalability is also crucial for delivering end-to-end AI solutions.
- What technologies will I use as a freelance AI Solutions Engineer at BeGig?
- As an AI Solutions Engineer at BeGig, you will work with LLM technologies like GPT APIs, LangChain, and RAG. You'll integrate AI with enterprise platforms such as Procore, Autodesk, and Microsoft Graph APIs. For automation, tools like Zapier, n8n, or Make will be used. Backend development will involve Python/Node.js, and frontend development with React/Next.js. Security aspects include OAuth2, MFA, RBAC, and SSO. Chat and voice experiences will utilize Whisper, Twilio, and real-time APIs.
- Is the AI Solutions Engineer role at BeGig remote?
- Yes, the AI Solutions Engineer position at BeGig is a fully remote freelance opportunity. This allows for flexible work arrangements, enabling you to work from anywhere.
- What kind of projects can I expect as an AI Solutions Engineer at BeGig?
- You can expect to work on cutting-edge AI and LLM projects. These projects involve building production-ready AI solutions, automating workflows, powering chat and voice interfaces, and integrating with business platforms, offering high-impact, real-world engagement.
- How does BeGig match freelance talent with projects?
- BeGig specializes in connecting innovative founders with top freelance tech talent. They match experts like AI Solutions Engineers with high-impact, real-world projects that align with their skills and experience, ensuring a good fit for both the talent and the client.