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Senior AI Engineer

Role overview

Qualifications

  • 5+ years of software engineering experience
  • Experience developing production AI applications using LLM
  • Strong proficiency in Python
  • Experience integrating AI APIs such as OpenAI, Anthropic or Google Gemini

Responsibilities

  • Develop and enhance AI-powered features across existing products
  • Integrate and maintain LLMs and AI services within production applications
  • Implement conversational AI, AI voice and intelligent workflow capabilities
  • Monitor, troubleshoot and resolve AI-related production issues from identification through root cause analysis and resolution

Key facts

Other skills

  • Communication
  • Problem Solving

About the company

Sporty Group logo

Sporty Group

Sports Betting & iGaming

Sporty Group is a consumer internet and technology business with unrivaled sports media, gaming, social and fintech platforms that serve millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution. We’re fortunate enough to have already built a capable and proven team of 500+ high achievers from a diverse set of backgrounds with a common thirst for excellence and we are constantly looking for more talented individuals to power our growth and serve our users further via their grit and innovation.

Company details

Company typeScaleup
IndustrySports Betting & iGaming
Company size501 - 1000

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Job description

About the role

We are looking for a Senior AI Engineer to develop and enhance AI-powered capabilities across our existing products. You will implement new AI features, integrate emerging AI technologies and ensure our conversational and voice AI solutions remain reliable, scalable and performant. Working closely with AI Scientists, Product Managers and engineering teams, you will bring AI improvements into production while maintaining high engineering standards.

What you'll be doing

  • Develop and enhance AI-powered features across existing products.
  • Integrate and maintain LLMs and AI services within production applications.
  • Implement conversational AI, AI voice and intelligent workflow capabilities.
  • Build and optimize RAG pipelines and agent workflows.
  • Integrate AI capabilities with internal systems and external services.
  • Monitor, troubleshoot and resolve AI-related production issues from identification through root cause analysis and resolution.
  • Improve application performance, reliability, latency and operational costs.
  • Collaborate with Product Managers and AI Scientists to improve AI quality and user experience.
  • Evaluate and adopt new AI technologies where they provide business value.
  • Maintain technical documentation and contribute to architecture discussions and engineering best practices.

What you'll bring

  • 5+ years of software engineering experience.
  • Experience developing production AI applications using LLM.
  • Strong proficiency in Python.
  • Experience integrating AI APIs such as OpenAI, Anthropic or Google Gemini.
  • Experience with RAG architectures and modern AI frameworks.
  • Strong understanding of software architecture and distributed systems.
  • Ability to independently investigate and resolve complex production issues.
  • Excellent communication and stakeholder management skills.
  • Proactive mindset with strong ownership and accountability.

What’s in it for you

  • Sporty is a remote first company in pursuit of sustainability
  • A competitive salary + individual performance based bonuses every quarter
  • 28 days paid annual leave
  • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
  • Referral bonuses & flash bonuses
  • Top of the line equipment
  • Annual company retreats to provide great internal networking opportunities

Interview Process

  • Remote video screening with our Talent Acquisition Team 
  • Online home assignment
  • Remote video interview with Team Members (3x45 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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