Automation & AI Engineer

Adaptive Teams is proud to be part of a group of companies founded by Nate Ginsburg, built with a two-fold mission: to discover and empower amazing talent while building strong, connected communities all around the world. This vision drives everything we do, from the way we recruit to how we encourage collaboration across global teams. It’s not just about finding the right people for the job; it’s about creating meaningful work that contributes to something bigger. When you join Adaptive Teams, you’re stepping into a network that believes in the power of talent and community. We seek out individuals who are passionate, skilled, and ready to contribute to a larger purpose. Our projects allow you to showcase your abilities while making real connections across industries and geographies. Working with us means being part of a company that is committed to your growth and building thriving communities worldwide. If you’re looking to advance your career in an environment that values innovation and collaboration, Adaptive Teams is where you can truly flourish. Ready to build smart automation with serious brains behind it ? We're looking for more Python-first engineers with a background in AI/ML, data science, or engineering to craft scalable workflows powered by LLMs.  Your Mission: Day to Day Responsibilities 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 . Your Toolbox: Skills to be Successful Must-Have: 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). Your Perks: What's in it for you Full-time  in an expanding project. Remote, flexible work environment. Opportunity to work with cutting-edge AI and automation technologies. Professional development and career growth opportunities. Join an impact-driven, innovative team. Why Adaptive Teams? At Adaptive Teams, we don’t just fill positions – we create pathways to success. Whether you’re a seasoned pro or just starting out, we’re here to help you grow, innovate, and make an impact. If you’re looking for exciting opportunities and, a team that’s as passionate as you are, this is the place to be.What to Expect from Our Application Process? Once you apply, you’ll receive an email guiding you through the next steps, including an assessment tailored to the role. After that, we’ll ask you a few brief questions about your experiences and work style—this is your opportunity to showcase what makes you unique and how you approach challenges. Be sure to check your inbox (and your spam folder , just in case) for further instructions.We understand your time is valuable , so we strive to keep the assessments under 45 minutes whenever possible, though some roles may require a slightly longer time investment.Once selected, you’ll have the chance to schedule an interview with our team. We aim to make the process as smooth and transparent as possible, so you’ll always know where you stand.