AI Engineer
HubSpot
AWSAzureCloudGoogle Cloud Platform
Automation and AI Engineer
Adaptive Teams
part-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDockerFirebaseGoogle Cloud PlatformJavaScriptMongoDBMySQLNoSQLPostgresPythonSQL
About the role
- Design and implement automation workflows , integrating AI when relevant. Develop and optimize API integrations across multiple platforms. Build backend automation scripts and services to improve operational efficiency. Work with SQL databases (PostgreSQL, MySQL, etc.) —NoSQL is a plus. Collaborate with the AI team to integrate LLMs and intelligent systems into workflows. Maintain and document automation processes, ensuring scalability, performance, and security .
Requirements
- 3+ years of experience in automation, backend development, or AI-driven workflows . Strong Python skills (JavaScript is a plus). Experience with SQL databases (PostgreSQL, MySQL, etc.). Demonstrated experience in AI/ML, data science, or engineering roles . Proven ability to design or contribute to LLM-based solutions (e.g., OpenAI, Claude, etc.). Solid problem-solving chops—you’ve tackled complex automation challenges before. Strong grasp of REST APIs, webhooks, and integrations . Proficiency with Git and version control . Preferred: Experience with automation platforms like N8N, Zapier, or Make (N8N is easy to learn—preferred, not required). Experience with NoSQL databases (e.g., MongoDB, Firebase). Understanding of cloud platforms (AWS, Azure, or GCP). Background in event-driven architectures, CI/CD pipelines , and containerization (Docker).
