Backend Developer (Python, Data & AI)

About [Employer]

[Employer] is a fully remote international marketing agency working across Search, Social and AI Visibility for brands in technology, AI, fintech, gaming and consumer. Our team builds the internal products behind the agency: a creator data platform that scans more than 100,000 creator profiles a day, and the tools our influencer marketing team uses to match creators with brands and run campaigns. We are a small team that ships weekly and uses AI tools in everything we build.

Team: AI Labs · Experience: 3–5 years · Type: Full-time · Work mode: Remote · Location: Vietnam

About the role

You will build and scale the data and AI backend behind our creator intelligence. That means scraping social platforms at scale, storing and querying large volumes of creator data, and building the AI pipelines that evaluate, classify and match creators to brand briefs. The stack today is Python and Django on AWS with ClickHouse.

What you will do

• Build backend services and REST APIs with Python, Django and Django REST Framework.
• Build and maintain scraping systems for social platforms: scheduling, queues, proxies, rate limits and retries.
• Design data pipelines and schemas in ClickHouse and MySQL, and optimize queries on large datasets.
• Run and scale infrastructure on AWS, with monitoring and cost in mind.
• Integrate LLM APIs (OpenAI, Claude, Gemini) for classification, labeling and evaluation of creator data.
• Build AI agents, tool calling and multi-agent workflows with LangChain and LangGraph.
• Build RAG pipelines using embeddings and vector databases.
• Trace, monitor and evaluate AI workflows with LangSmith.
• Work with frontend developers and the business team to turn requirements into technical solutions.
• Write clean, reusable, tested code.

Must have

• 3+ years of backend development in Python.
• Django and Django REST Framework, and REST API design.
• Strong SQL and database design (MySQL or PostgreSQL).
• Hands-on experience with web scraping or data collection at scale.
• Experience with AWS and Linux.
• Git and GitHub.
• Practical experience on at least one AI or GenAI project.

Nice to have

• ClickHouse or another analytical database.
• LangChain, LangGraph and LangSmith.
• RAG architecture and vector databases (Qdrant, ChromaDB, FAISS).
• Agentic AI and tool calling.
• Docker, task queues (Celery) and CI/CD.
• Basic React or Next.js, HTML, CSS and JavaScript.

Compensation

USD 850 – 1,250 per month, full-time, fully remote.

How to apply

Apply through this posting with your CV and links to relevant work (GitHub or projects you have shipped).

Originally posted on [Employer]