AI Engineer - AI & Machine Learning

An AI Engineer at Adly is responsible for building new SaaS products end-to-end, including backend, frontend, integrations, deployment, and iteration. You will work directly with our leadership team, growth strategists, and designers to launch MVPs, iterate based on traction, and scale products quickly. You will be empowered to use AI development tools to increase speed, efficiency, and innovation. You should be deeply technical, scrappy, highly organized, and capable of working independently — but also comfortable collaborating across functions to bring high-quality products to market fast. Responsibilities: - Build and deploy small to mid-sized SaaS products from concept to production - Use AI development platforms (e.g., Cursor, Bolt.new, Lovable) to accelerate backend, frontend, and full-stack development - Architect product infrastructure for scalability, performance, and security - Integrate third-party APIs, authentication systems, payment gateways, analytics, and marketing tools - Implement A/B testing, conversion tracking, and analytics tracking into product flows - Own the DevOps process for product launches (basic hosting setup, deployment pipelines, monitoring, etc.) - Collaborate with growth, design, and operations teams to ensure product-market fit and launch readiness - Rapidly iterate on products based on early usage metrics, user feedback, and business priorities - QA test all features thoroughly before launch to ensure performance, UX quality, and reliability - Present progress updates, technical roadmaps, and project insights directly to the leadership team Skills & Experience: - 2+ years of experience in software engineering, SaaS product development, or full-stack development - Proven experience shipping live software products (bonus if you built an MVP from scratch) - Strong knowledge of modern front-end and back-end frameworks (e.g., React, Next.js, Node.js, Django, etc.) - Familiarity with AI-assisted coding platforms (Cursor, Bolt.new, Lovable, or similar AI copilots) - Comfortable managing and owning the full development cycle, including architecture, database design, API integrations, and cloud deployment - Ability to use no-code/low-code tools strategically when beneficial - Solid understanding of web security, performance optimization, and scalability best practices - Excellent organization and time management skills using project management tools (e.g., Asana, Linear, Trello) - Comfortable with startup-style fast-paced iteration and ambiguity - Strong communication skills across technical and non-technical teams - Enthusiasm for working in a small, high-performance, entrepreneurial environment Bonus Skills (Nice to Have): - Experience integrating payments (Stripe, Chargebee, etc.) - Experience building AI-integrated features (Chatbots, AI search, AI recommendations, etc.) - Experience in growth-driven development (building for conversion rate optimization, retention, engagement) - Experience in UX/UI principles and collaborating closely with designers