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FULL STACK PYTHON DEVELOPER — AI & CRYPTO MARKET ANALYSIS

SMB Enterprises
Remote

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Job Details

Temporary | Full-time | Contract
Up to $183,000 a year
1 hour ago

Qualifications

AI models
Containerization systems
Time series models
Data visualization software proficiency
Engineering development testing
NumPy
Front-end state management
AI tools proficiency
Machine learning projects
Schema design
Prompt engineering
Pandas
Quality assurance in testing
PostgreSQL
Developing automated test scripts
Continuous integration
Redis
Financial markets data analysis
Django
Time Series Analysis
System deployment
Cryptocurrency trading
Cryptocurrency
Data visualization projects
Generative AI

Full Job Description

Job Summary
We are looking for a versatile Full Stack Python Developer to take ownership of a production-grade crypto market-structure analysis platform. The system combines real-time OHLCV data ingestion, algorithmic swing/trend detection (BoS, CHoCH, Wyckoff), AI-generated market summaries, and an interactive Streamlit front end — all backed by a Django REST API and a multi-agent LLM pipeline.
You will be the primary engineer: maintaining and extending existing detection algorithms, improving the AI summarization pipeline, hardening authentication and integrations, and shipping new visualizMaintain and improve the Django 5 async REST API (django-ninja), domain-separated apps (AI, chat, stock, auth, chart, users) and Pydantic schema layer.

Responsibilities

Extend swing-point and trend detection algorithms (BoS/CHoCH, Wyckoff zones) built on pandas DataFrames — improving accuracy, coverage, and performance.
Develop and tune the LLM/AI pipeline: LangChain agents, LangGraph orchestration, OpenAI integration, and Langfuse prompt tracing/observability.
Build and refine the Streamlit interactive UI: Plotly candlestick charts, overlays, session state management, and browser-side token persistence.
Own the Celery + Redis background task layer, async job scheduling, and health-check infrastructure.
Manage exchange API integrations (Bybit public API patterns), token-refresh auth flows, and REST ingestion helpers.
Maintain Docker-based dev and production infrastructure (multi-stage builds, compose stacks, MinIO/S3, uWSGI).
Write and expand the pytest test suite; enforce code quality with ruff, pre-commit hooks, and type annotations.

Qualifications

Python 3.11+ — strong command of modern Python: type hints, dataclasses, enums, packaging (pyproject.toml / Poetry / UV).
Django (v5) — async patterns, modular app design, django-ninja or DRF, ORM with custom querysets/managers.
Pandas & NumPy — time-series manipulation, rolling/EWM operations, index-based masking on OHLCV data.
Streamlit — production deployments, session state, component lifecycle, local storage integration.
LLM / AI engineering — LangChain, agent/tool design, structured outputs, prompt engineering; OpenAI API experience required.
Plotly — candlestick charts, graph_objects overlays, interactive financial visualizations.
REST API design — token-based auth, OAuth/refresh patterns, Pydantic request/response schemas.
Celery + Redis — background task design, scheduling (celery-beat), broker/result-backend configuration.
Docker — multi-stage Dockerfiles, compose stacks, service orchestration.
Testing & quality — pytest, factory_boy, ruff linting, pre-commit, CI pipelines.
Trading/market-structure basics — knowledge of or willingness to learn swing highs/lows, Break of Structure (BoS), Change of Character (CHoCH), and Wyckoff methodology.

NICE TO HAVE

- LangGraph and LangFuse (or equivalent LLM observability stack) hands-on experience.

- Bybit or other crypto exchange API integration experience.

- Pydantic v2, OpenTelemetry, and Sentry instrumentation in a production setting.

- MinIO / S3-compatible object storage configuration.

- PostgreSQL with psycopg3, async queries, and geospatial extensions (GDAL/GEOS).

- RS256 JWT key management and cryptography-library-level security work.

- Experience serializing dataframes as LLM context (CSV-based prompt construction).

TECH SNAPSHOT

Backend: Python 3.13, Django 5, django-ninja, Celery, Redis, PostgreSQL, uWSGI

Frontend: Streamlit, Plotly (graph_objects), streamlit-local-storage

AI / LLM: LangChain, LangGraph, OpenAI, Langfuse, prompt engineering

Data: Pandas, NumPy, ta (technical analysis), Pydantic

Infra: Docker, MinIO/S3, OpenTelemetry, Sentry, JWT (RS256)

Quality: pytest, factory_boy, ruff, pre-commit, Poetry / UV

Pay: Up to $183,000.00 per year

Work Location: Remote

Quick Apply

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