AI Automation Engineer

About the CompanyE2M Solutions works as a trusted white-label partner for digital agencies, supporting agencies with consistent and reliable delivery across website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organisation powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.About the RoleAs an AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.ResponsibilitiesDesign and develop backend solutions using Python, with a focus on AI-driven features.Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.Translate business needs into AI use cases and deliver working solutions.Collaborate with product, engineering, and data teams to define integration workflows.Develop REST APIs and micro services to deploy AI components within applications.Maintain and optimize AI systems for scalability, performance, and reliability.Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.Qualifications1-3 years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.LangChain (must have hands-on experience using LangChain in at least one real-world project)LangGraph (must have hands-on experience building workflows or agent-based applications using LangGraph in at least one real-world project)Docker (must have practical experience containerizing and deploying applications using Docker)Proficiency in libraries such as NumPy, Pandas, TensorFlow, and KerasPractical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)Solid understanding of REST APIs, micro services, and integration practicesAbility to work independently in a remote setup with strong communication and ownershipExcellent problem-solving and debugging capabilitiesRequired SkillsWordPress CMS architecturePreferred SkillsNot just a backend engineer. The candidate should also be comfortable building frontend applications.Not focused solely on ML model training. The role is centered around applying AI to real-world products and business use cases.Should be able to prototype quickly, experiment with ideas, and iterate fast.Strong ownership mindset with the ability to take features from concept to production.