Earn 15 K Per Month as an AI Engineer

Earn 15 K Per Month as an AI Engineer

 the Splitero Applied AI Engineer job. Learn about responsibilities, required skills, salary, career opportunities, and how to apply.

In this article, we will explore everything you need to know about the Applied AI Engineer role at Splitero, including responsibilities, required skills, salary, work environment, and how you can prepare for this type of job.

What is Splitero and What Do They Do?

Splitero is a USA-based fintech and proptech company that helps homeowners unlock the value of their home equity in a simple and flexible way.

Why is Splitero Important?

In today’s economic environment, many homeowners are unable to access the value of their properties due to:

• High interest rates
• Strict lending requirements from traditional banks

Splitero solves this problem through an innovative model where:

• No monthly payments are required
• Home equity can be accessed easily

What is an Applied AI Engineer?

An Applied AI Engineer is a professional who uses artificial intelligence to solve real business problems.

Key Responsibilities of the Role:

• Automating workflows using AI
• Improving product experiences
• Making business decisions smarter and data-driven

At Splitero, this role involves working closely with engineering, product, and operations teams.

Key Responsibilities of an Applied AI Engineer

1. AI Strategy and Planning

This role goes beyond coding—you will help define the company’s AI strategy.

Your responsibilities include:

• Identifying where AI can create the most value
• Creating an AI roadmap
• Evaluating and adopting new AI tools

2. Building AI Solutions

You will directly build AI-powered features and systems.

This includes:

• Using LLM APIs (OpenAI, Anthropic)
• Building RAG (Retrieval-Augmented Generation) pipelines
• Developing AI agents

3. Creating Automation Workflows

Automation is a major part of this role.

Common tools used:

• n8n
• Make
• Zapier

With these tools, you will:

• Reduce manual work
• Deploy solutions quickly

4. Working with Cross-Functional Teams

You will collaborate with multiple teams:

• Product Team → To understand user problems
• Operations Team → To automate workflows
• Engineering Team → To build production-ready systems

5. Managing the Full AI Lifecycle

You will be responsible for the entire lifecycle of AI projects:

• Prototyping
• Testing
• Deployment
• Monitoring
• Continuous improvement

Required Skills and Qualifications

1. Software Engineering Experience

• At least 6 years of experience
• 2+ years working on AI or LLM-based projects

2. AI and LLM Skills

You should have knowledge of:

• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents

3. Programming Languages

Key languages include:

• Python
• TypeScript / Node.js

4. Database and Cloud

• PostgreSQL
• AWS / Vercel

5. AI Tools Experience

Familiarity with:

• LangChain
• LlamaIndex
• Vector databases

6. No-Code / Low-Code Skills

• n8n
• Zapier
• Make

These tools help in rapid prototyping and deployment.

Salary Range

The salary for an Applied AI Engineer at Splitero is:

$135,000 – $175,000 per year

Salary depends on:

• Experience
• Skills
• Education

Benefits of Working at Splitero

1. Fully Remote Job

You can work from anywhere in the world.

2. Flexible Work Culture

• Flexible working hours
• Strong work-life balance

3. Healthcare Benefits

• Coverage for you and your family
• Available from day one

4. Paid Time Off (PTO)

• Generous vacation policy
• Parental leave

5. Monthly Stipend

• Internet allowance
• Mobile expenses

Why is This Job So Attractive?

1. Cutting-Edge Technology

You will work with the latest AI tools and platforms.

2. Real Impact

Your work will directly influence business growth and efficiency.

3. High-Demand Skill

AI engineering is one of the most in-demand careers globally.

Who is This Job Suitable For?

This job is ideal for you if:

• You are passionate about AI
• You can learn quickly
• You have strong problem-solving skills
• You enjoy working in a startup environment

How to Prepare for This Role?

 1: Learn Programming

• Python
• Node.js

 2: Learn AI Concepts

• Machine Learning
• Natural Language Processing (NLP)
• Large Language Models (LLMs)

3: Build Practical Projects

• Create chatbots
• Build AI automation systems

 4: Learn Tools

• OpenAI API
• LangChain
• n8n

Career Growth Opportunities

From this role, you can grow into:

• AI Architect
• Machine Learning Engineer
• Product AI Lead

The Applied AI Engineer role at Splitero is not just a job—it is a career-defining opportunity. You will work with cutting-edge AI technologies while solving real-world problems that impact people’s lives.

If you have strong skills in AI, automation, and software engineering, this type of role can take your career to the next level.

apply this job click here

 

In today’s technology-driven world, Artificial Intelligence (AI) is no longer just a trend—it has become a core driver of modern business operations. Especially in USA-based companies, AI is being widely used to make processes faster, smarter, and more efficient.

One such innovative company is Splitero, which operates at the intersection of financial services and property technology. By combining fintech and proptech, Splitero is transforming how homeowners access their home equity.