Python Developer — Automation, Integrations & Power BI

Scalis LLC; Rio de Janeiro; Teletrabalho; BRL 334 000 - 501 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equipment provided

Health insurance included

Resumo da oferta

Bold Business is seeking a Python Developer for automation, integrations, and Power BI reporting. You will connect systems, automate workflows, and build dashboards while collaborating with a Lead Architect for AI agent integration.

Remote role, full-time, typically 3–4 years experience; strong Python, SQL, PostgreSQL, and Power BI skills required; experience with APIs and Git helpful; opportunity to work with AI tools and data pipelines.

Qualificações

• Typically 1–3 years of hands-on development experience.
• Strong Python: able to build, maintain, and debug applications, integrations, and automation scripts.
• Strong SQL and PostgreSQL experience: joins, aggregations, data updates, table relationships, data quality.
• Hands-on Power BI: data prep with Power Query, data models, DAX measures, dashboards.
• API integration: REST APIs, JSON, authentication, failed requests.
• Familiarity with Git, basic testing, logging, debugging.
• Clear written and spoken English for business users.
• Initiative, curiosity, willingness to learn AI tools.
• Consistent communication: ask questions, share progress, raise issues.

Responsabilidades

• Build Python automations to reduce manual work and improve workflows.
• Integrate systems via APIs and webhooks.
• Manage PostgreSQL data, write SQL queries, ensure data quality.
• Develop Power BI reports and data models, deliver dashboards for clients and internal projects.
• Create operational dashboards to track sales campaigns and follow-up activities.
• Support AI agent development and integration under Lead Architect guidance.
• Evaluate tools, track usage, and compare platform costs.
• Work directly with users to gather requirements and demonstrate progress.
• Maintain reliable systems: test changes, troubleshoot, document work, and report blockers.

Conhecimentos

Python

SQL

Power BI

API integration

Git

Testing

English

Initiative

Communication

Ferramentas

OpenClaw

Grok Bot

LangChain

LangGraph

LlamaIndex

n8n

Make

PostgreSQL

Descrição da oferta de emprego

Python Developer — Automation, Integrations & Power BI

BOLD Business

BOLD Business

2 months ago

Remote

Full Time

Intermediate or Experienced

About BOLD Business

About the job

Remote | Typically 3–4 years of hands‑on development experience

About Bold Business

Bold Business is an AI-first company building software, automation, and AI agents that support Sales, Marketing, Recruiting, and other business functions.

About the Role

We are looking for a developer with strong Python and SQL skills, practical PostgreSQL experience, and hands‑on Power BI experience.

You will connect business systems, manage data, automate workflows, and create dashboards that help internal teams and clients run their operations. You will also learn to improve and integrate our AI agents, with technical guidance and code review from our Lead Architect.

Prior AI agent experience is helpful but not required. We value solid development fundamentals, intellectual curiosity, and clear communication.

What You Will Do

• Build Python automations: Reduce manual work, process data, and improve recurring business workflows.
• Integrate systems: Connect business platforms, databases, and applications through APIs and webhooks.
• Manage PostgreSQL data: Create and maintain tables, write SQL queries, and improve data accuracy and consistency.
• Develop Power BI reports: Connect and prepare data, build data models and DAX measures, and deliver dashboards for client and internal projects.
• Create operational dashboards: Help users track work and take action—for example, monitoring sales campaigns, results, and follow‑up activities.
• Support AI agent development: Learn to improve existing OpenClaw agents and integrate them with tools such as Grok Bot under the Lead Architect’s guidance.
• Help evaluate tools and costs: Test agent capabilities, track usage, and contribute to platform comparisons and cost improvements.
• Work directly with users: Understand requirements, demonstrate progress, gather feedback, and explain how to use the tools you build.
• Maintain reliable systems: Test changes, troubleshoot problems, document your work, and communicate blockers promptly.

Required Skills & Experience

• Typically 1–3 years of hands‑on development experience; demonstrated ability matters more than a strict year count.
• Strong Python: Able to build, maintain, and debug applications, integrations, and automation scripts.
• Strong SQL and practical PostgreSQL experience: Comfortable with joins, aggregations, data updates, table relationships, and data quality.
• Hands‑on Power BI: Experience preparing data with Power Query, building data models, writing DAX measures, and creating useful reports and dashboards.
• API integration: Experience with REST APIs, JSON, authentication, and handling failed requests.
• Familiarity with Git, basic testing, logging, and debugging.
• Clear written and spoken English and the ability to work directly with business users.
• Initiative, intellectual curiosity, and a willingness to learn new tools, including AI agents.
• Consistent communication: ask questions, share progress, and raise issues early.

Nice to Have

• Personal or professional experience building AI agents or LLM‑powered workflows.
• Familiarity with OpenClaw, LLM APIs, or other agent tools.
• Automation platforms such as n8n or Make.
• Experience supporting Sales, Marketing, or Recruiting workflows.
• Location: Remote, Latin America, India, Philippines.
• Compensation: Competitive, based on experience and demonstrated skills.
• Schedule: Regular overlap with US working hours.
• Support: Technical guidance and code review from our Lead Architect.
• Benefits: Equipment provided and health insurance included.

Remote Work

Preferred Skills

Python (production‑level, clean code, automated testing)

LLM APIs & Frameworks (OpenAI, Anthropic, Groq, LangChain, LangGraph, LlamaIndex)

Agent Memory Management (short‑term, session‑level, long‑term)

Tool & Function Calling Integrations

Prompt Engineering & Testing (regression testing, LLM evaluation tools like RAGAS)

System Failover & Reliability (error handling, retries, fallbacks)

LLM Abstraction Layers

Data Pipeline Engineering (ingestion, transformation, validation, quality control)

Cost Optimization & Monitoring (token management, caching, logging, alerting, cost/performance tracking)

AI Security & Privacy (prompt injection protection, least‑privilege access, sensitive data masking)

Version Control & DevOps (Git, CI/CD practices, Docker/containerization, AWS/GCP)

High Ownership & Proactivity

Collaborative & Transparent Communication (regular check‑ins, progress sharing, early risk reporting)

Strong English Communication (written and verbal for U.S.-based team collaboration)

User-Centric Mindset (empathy for internal teams, workflow understanding, educating non‑technical users)

Accountability & Problem‑Solving

Requirement Validation & Feedback‑Driven Iteration