What are the responsibilities and job description for the Senior Software Engineer position at AdsGency AI?
Company : AdsGency AI
Location : Onsite
Employment Type : Full-Time
About AdsGency AI
We’re AdsGency AI —a team of engineers, hackers, and AI pioneers building the next generation of AI-powered, multi-agent ad automation .
Our platform leverages AI Agents to dynamically optimize, scale, and manage digital ad campaigns across Google, Facebook, and beyond —fully autonomously.
If you :
Work with AI copilots (Cursor, GitHub Copilot, Tabnine) daily
Have built AI-powered applications (LLMs, multi-agent systems, AI copilots)
Contribute to open-source , fork repos, and push PRs on GitHub
Think automation-first , using AI to code smarter and ship faster
Want to work at the bleeding edge of AI, automation, and multi-agent systems
then you’re exactly the kind of engineer we want on our elite AI-driven team .
The Role – Full Stack Engineer for AI Agents & Automation
As a Full Stack Engineer , you’ll build next-gen AI-driven ad automation , working on multi-agent architectures where AI copilots interact, make decisions, and execute tasks.
This is not your typical CRUD app development. You’ll be engineering autonomous AI workflows , optimizing real-time decision-making systems , and architecting scalable multi-agent infrastructures .
What You’ll Build
Multi-Agent Ad Automation – Engineer an AI-powered system where autonomous agents manage ad campaigns , optimize budgets, and generate ad creatives.
AI-Powered Development – Work with GitHub Copilot, Cursor, and AI coding assistants to boost productivity.
High-Performance APIs & Microservices – Build scalable, AI-integrated RESTful APIs that power our multi-agent network.
AI Workflow Orchestration – Implement multi-agent workflows where LLM-based agents coordinate, analyze, and execute ad strategies.
Seamless UI / UX for AI Interaction – Develop next-gen UIs where users interact with AI agents for campaign management.
Optimize & Scale – Drive performance, security, and resilience in a system designed to handle millions of ad transactions autonomously.
Experiment with AI & ML – Integrate LLMs, fine-tune GPT models, experiment with reinforcement learning , and push AI boundaries.
Contribute to Open Source – Publish code, contribute to AI agent frameworks , and help advance the field of AI automation .
What You Bring
5 years of experience in Full Stack Development with a focus on automation & AI-driven systems .
Deep GitHub Footprint – You contribute to open-source projects , maintain your own repos, or actively engage with AI communities .
Multi-Agent AI Experience – You’ve worked with LangChain, CrewAI, Auto-GPT, BabyAGI , or have built AI agents for automation.
Front-End Mastery – Proficiency in React, Next.js, TypeScript to build AI-integrated user experiences .
Back-End Engineering Prowess – Strong with Node.js, Python Flask, FastAPI to design scalable AI-driven APIs .
Cloud & DevOps Experience – Familiarity with AWS, GCP, Azure , containerization ( Docker, Kubernetes ), and serverless architectures .
AI-Augmented Development – Regularly use Cursor, Copilot, and AI tools to code faster and automate workflows .
Automation & Optimization Focus – You never do repetitive tasks manually— you script, automate, and AI-enhance everything .
Bias for Action – You don’t just write code ; you ship features, deploy AI workflows, and solve real problems .
Bonus Points
Experience with Multi-Agent Systems, AI Workflows, or LLM Applications .
Knowledge of AI Copilot Development & AI-Augmented Coding Practices .
Serverless Architectures & Event-Driven Systems (AWS Lambda, Kafka, Firebase Functions) .
Performance Engineering & Large-Scale AI System Optimization .
Active in AI & Open-Source Communities (Hacker News, LangChain, GitHub Discussions, Discord) .
Why Join AdsGency AI?
Competitive Salary – We pay top-tier engineers what they’re worth .
Work at the AI Frontier – Build multi-agent automation in a high-growth startup .
Full Stack AI Engineering – Solve real-world problems using AI-driven automation .
Tech-Driven Culture – Work with top-tier engineers, AI researchers, and automation pioneers .
Continuous Learning – Access to cutting-edge AI tools, research papers, and conferences .
Collaborative, High-Impact Team – Work with a world-class AI-first engineering culture .
Ready to Build AI-Powered Multi-Agent Systems?
Drop us your GitHub, open-source projects, or a quick note on how you’ve built AI agents.
Join AdsGency AI and help redefine AI-driven ad automation.
