No longer accepting applicationsThis role at Digital League has closed. Browse live web3 jobs instead.
Get Discovered
No applications. Teams find and message you directly.
Get discovered. Join the talent poolNo account needed · 0 people in the pool→
No account needed. Teams find you and reach out directly.
0 people already in the pool
◆ 6/10
aidevmarketingBackend Developer
Join Talent Pool
Subscribe to our Telegram channel
✓ Direct apply: you message the hiring person. No ATS.
About this role
Join Digital League as a Python Developer to develop and maintain AI agents for data analysis automation. Hybrid work format in Moscow.
Description
Digital League is focused on creating innovative solutions in the digital economy, specializing in AI technologies.
Responsibilities
Responsibilities
- Develop and maintain AI agents in Python for automating financial monitoring data analysis
- Design agent system architecture: action planning, tool usage, and orchestration of model calls
- Implement RAG (Retrieval-Augmented Generation) pipelines: embeddings, document chunking, hybrid search (BM25 + vector), result re-ranking
- Integrate agents with external systems via SOAP/REST protocols, work with message brokers Kafka and RabbitMQ
- Use LangChain and LangGraph frameworks to build chain-of-thought reasoning and agent state graphs
- Optimize data handling: write SQL queries, process large datasets using pandas and PySpark
- Create backend wrappers for agents using FastAPI (or Flask/Django)
Requirements
Requirements
- Python & LLM: Proficient in Python (including asynchronous programming), knowledge of LLM principles
- Frameworks: Experience with LangChain, LangGraph
- Agent Architecture: Experience in developing AI agents
- RAG (Retrieval-Augmented Generation): Practical experience in implementing RAG: embeddings, chunking, retrievers (BM25 + vector search), re-ranking
- Backend Python: Experience in developing services using FastAPI, Flask, or Django
- Infrastructure: Ability to work with message brokers (Kafka, RabbitMQ) and databases
- Data Tools: Proficiency in data handling tools: SQL, pandas, PySpark
Conditions & Benefits
Conditions
- Full-time employment
- Work schedule: 5/2
- Hybrid work format (Moscow office or remote)
Job Details
Market range (est.)$90k–$180k
LocationHybrid
AI Score★★★★★★☆☆☆☆ 6/10
PostedOct 1, 2026 (11d ago)
Tags & Skills
aidevmarketingBackend Developerhybrid
Tech Stack
PythonLLMLangChainLangGraphFastAPIFlaskDjangoSQLpandasPySparkKafkaRabbitMQ
Join Talent Pool
Subscribe to our Telegram channel
✓ Direct apply: you message the hiring person. No ATS.