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Acadia.io • Atlanta, Georgia, United States
Role & seniority: AI Automation Engineer, mid-level (2-5 years’ experience)
Stack/tools: n8n, LangChain; OpenAI GPT models; REST APIs, webhooks, JSON; Python scripting; LLM integration to business systems; familiarity with Google Vertex AI, Microsoft Azure AI, Anthropic Claude
Design and deploy AI agents and automations to streamline workflows across the business
Connect LLMs to tools/data via APIs/webhooks and orchestration platforms; own full lifecycle from ideation to deployment and iteration
Develop new AI use cases, pilot prototypes, document insights, and drive broader AI adoption within Acadia; collaborate with global teams
2-5 years building automations, integrations, or AI-powered workflows
Proficiency with n8n, LangChain (or similar frameworks); Python for scripting
strong understanding of REST APIs, webhooks, JSON; experience deploying automations in production
experience connecting LLMs to real-world tools/data sources; comfortable with rapid experimentation
Experience in digital media or analytics data (GA4, Meta, Amazon)
Consulting/agency experience; Markdown for AI-generated outputs
Familiarity with creative automation tools or Veo 3
Location & work type: Remote-first, India-based; part of a global Technology and Innovation team
Job Details
Job Location: India - India, State/Province
Salary Range: Undisclosed Description AI Automation Engineer
Location: Remote, India
Team: Technology and Innovation About Acadia Acadia is a data, media, and technology-driven digital agency focused on helping brands achieve faster growth. Our expertise spans performance marketing, analytics, creative services, and retail media, all fueled by a culture of curiosity and continuous innovation. Technology and Innovation are key focus areas to significantly accelerate the practical application of advanced AI across the company. This team's mission is to build scalable AI agents and automations that deliver tangible business impact and make Acadia smarter, faster, and more creative, moving beyond mere experiments and prototypes. The Role We are seeking an AI Automation Engineer based in India to join our global Technology and Innovation team. This is a highly hands-on role where you will be responsible for designing and building AI-driven workflows and intelligent agents. You will leverage orchestration tools like n8n and LangChain, alongside OpenAI GPT models, to automate complex processes for Acadia’s analytics, retail, media, and creative teams. This is a role focused on practical AI, solving real business problems and delivering immediately usable tools for internal teams and clients, rather than traditional data science. Key Responsibilities Design and deploy AI agents and automations to streamline workflows across all areas of the business. Familiarity with major enterprise AI platforms, including OpenAI, Google Vertex AI, Microsoft Azure AI, and Anthropic Claude. Connect Large Language Models (LLMs) to various business systems using APIs, webhooks, and orchestration platforms such as n8n or LangChain. Develop and test novel AI use cases, ranging from auditing Amazon product detail pages for "AI readiness" to identifying creative fatigue in media data. Experiment with emerging generative AI tools like Veo 3 to enable creative generation. Collaborate with global teams to pinpoint automation opportunities and build scalable prototypes. Own the full lifecycle of AI automations - from ideation to deployment and iterative improvement. Document and share insights to drive the broader adoption of AI throughout Acadia. Qualifications
What We're Looking For 2-5 years of experience in building automations, integrations, or AI-powered workflows. Proven proficiency with n8n, LangChain, or similar workflow/agent frameworks. Working knowledge of Python for scripting and API integration. Strong foundational understanding of REST APIs, webhooks, and JSON. Experience in connecting LLMs to real-world tools and data sources. Experience deploying automations in a production environment A naturally curious and comfortable approach to rapid experimentation in a dynamic field. Ability to share at least two proof points of your work where you directly drove AI based, automation to improve an organization, a process, or even a homegrown experiment.