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From 51 similar postings that came down. Coming down is not always a hire.
Backend Developer (Python, Data & AI)
Ho Chi Minh City, Viet Nam
Actively hiring, first seen by us 1 day ago- Pay
USD 850–1,250/month — pay source
About AWISEE AWISEE 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).
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild backend services and REST APIs with Python, Django and DRF
Build and maintain scraping systems with scheduling, queues, proxies and retries
Design data pipelines and schemas in ClickHouse and MySQL and tune queries
Run and scale AWS infrastructure with monitoring and cost in mind
Integrate LLM APIs for classification, labeling and evaluation of creator data
From the employer’s posting
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.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Awisee is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Python
- SQL
- AWS
- ClickHouse
- Docker
- MySQL
- PostgreSQL
- Django
- React
Where the posting names them
About AWISEE AWISEE 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).
Your next step
Complete your application on awisee.zohorecruit.eu. The employer’s form will show what is required.
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Demand for AI Engineer roles
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About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
About AWISEE AWISEE 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).
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- Location & working pattern
Ho Chi Minh City, Viet Nam
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