Python Engineer

Bizimply

Dublin

Hybrid

EUR 70,000 - 105,000

Full time

14 days+

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Job summary

Bizimply is a workforce management platform used by thousands of businesses. We are building AI-powered features that help our customers make better decisions using their workforce data, and we are looking for a Python engineer to help us build and scale that capability.

You will work on a standalone Python AI service that sits alongside our main product, integrating with LLM providers, querying analytical data stores, and streaming intelligent responses to end users in real time.

Qualifications

  • 3+ years of professional Python experience writing production services.
  • Experience with LLM APIs, tool use, structured output and prompts.
  • Proficient in SQL against analytical databases.
  • Experience with async Python and streaming HTTP.
  • Attention to security: prompt injection, PII handling, service-to-service auth.
  • Comfort using AI coding agents in daily workflow with judgment when needed.

Responsibilities

  • Build and extend a production Python AI service.
  • Work with LLM tools, agentic loops, and prompts.
  • Design and run LLM evaluations to maintain quality.
  • Write SQL against analytical databases to ground AI responses.
  • Monitor LLM cost and usage observability.
  • Collaborate with a Rails backend within a defined service boundary.

Skills

Python
LLM APIs
SQL
Async Python
Security
AI Agents

Job description

Python Engineer

Department: Engineering

Employment Type: Full Time

Location: Ireland

Description
About Bizimply

Bizimply is a workforce management platform designed to streamline operations for businesses in the hospitality, retail, and leisure industries. The Bizimply platform provides a comprehensive suite of tools that enable businesses to efficiently manage their workforce, including scheduling, time and attendance tracking, task management, HR and performance reporting. By centralising these functions in one user-friendly interface, Bizimply helps businesses save time, reduce administrative overhead, and improve overall operational efficiency.

About the role

Bizimply is a workforce management platform used by thousands of businesses. We are building AI-powered features that help our customers make better decisions using their workforce data, and we are looking for a Python engineer to help us build and scale that capability.

You will work on a standalone Python AI service that sits alongside our main product, integrating with LLM providers, querying analytical data stores, and streaming intelligent responses to end users in real time.

Location

Dublin, Ireland. Hybrid: 2 days per week in the office.

Key Responsibilities
What you will work on
  • Building and extending a production Python AI service
  • LLM tool calling, agentic loops, and prompt engineering
  • Designing and running LLM evaluations to maintain quality as features evolve
  • Writing SQL against analytical databases to ground AI responses in real data
  • LLM cost and usage observability
  • Working within a defined service boundary alongside a Rails backend
Skills, Knowledge and Expertise
Requirements
  • 3+ years of professional Python experience, writing production services
  • Experience building with LLM APIs, including tool use, structured output, and prompt construction
  • Comfortable writing SQL against analytical databases
  • Experience with async Python and streaming HTTP
  • Good security instincts: prompt injection, PII handling, and service-to-service auth patterns
  • Comfortable using AI coding agents as part of your daily workflow, while knowing when to rely on your own judgement rather than the output
Nice to Haves
  • Experience with ClickHouse or other columnar analytical databases
  • Familiarity with agentic system patterns: multi-step tool calling, context management, memory
  • GDPR considerations for LLM systems, particularly around PII sent to third-party providers
  • Experience with Airflow or similar data pipeline tools
  • Some exposure to Rails or Ruby
  • Awareness of EU AI Act requirements
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