RTB House10.03.26
AI SCORE 8.5

Lead Software Engineer - AI Engineering (Remote)

$120K–$150K/year

About the Role

We're hiring a Lead Software Engineer - AI Engineering (Remote) to join our innovative team at RTB House. In this role, you will lead our AI Engineering Lab, driving the architecture, development, and deployment of next-generation AI solutions that enhance engineering productivity.

What You'll Do

  • Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality.
  • Serve as a Full Stack tech-leader, contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV).
  • Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally.
  • Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, and latency.
  • Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies.
  • Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide.
  • Collaborate intensely with a Staff Frontend Engineer and stakeholders from Ads layouts creation teams, ensuring seamless integration of design and functionality.

Requirements

  • Minimum of 6 years of professional experience in Software Engineering, with a strong background in building and deploying complex, large-scale systems.
  • Proven experience designing, developing, and operating distributed systems at scale (e.g., microservices, event-driven architectures).
  • Proficiency in at least two programming languages, with Python being mandatory; experience with Java, Go, or Scala is a plus.
  • Basic understanding of the Machine Learning lifecycle, MLOps practices, and experience in integrating ML models into production applications.
  • Demonstrated experience in technical leadership, including defining technical roadmaps and mentoring junior engineers.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Nice To Have

  • Direct experience with Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Familiarity with the ad-tech industry and real-time bidding (RTB) systems.
  • Strong foundation in data structures, algorithms, and system optimization.

What We Offer

  • Projects focused on high code quality with solid code reviews as our standard.
  • Collaboration within an interdisciplinary, self-sufficient team including DevOps, database experts, backend developers, product designers, and QA engineers.
  • Hardware and software tailored to your preferences, such as a MacBook and AI tool licenses.
  • Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects.
  • Flexible working conditions with no core hours and fully remote cooperation.

Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Why This Job8.5 of 10

This Lead Software Engineer role offers a unique opportunity to lead AI projects in a fully remote environment, with a competitive salary and flexible working conditions.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Expert in Python and Java with hands-on experience in MLOps and deploying AI models using Docker and Kubernetes, ensuring seamless integration into microservices architecture.

Self-motivated and proactive in a remote work environment, capable of leading cross-functional teams across different time zones while maintaining high engagement and productivity.

Strong problem-solving mindset with a focus on scalability and performance optimization in AI systems, demonstrated through previous leadership roles that involved mentoring engineers and driving technical projects.

Learning Resources

Python for Data Science Handbookguide

Career Path

Lead Software Engineer - AI Engineering(Now)Engineering Manager - AI Solutions(1-2 years)Director of AI Engineering(3-5 years)

Market Overview

Market Size 2024
$25B
Annual Growth
21.5%
AI Adoption
80%
Investment
+150%
Labour Demand
+30%
Avg Salary
$150K

Skills & Requirements

Required
PythonJavaGo
Growing in Demand
Deep LearningCloud Computing (AWS, Azure)Data Engineering
Declining
JavaScript (Vanilla)PHP

Domain Trends

Increased Focus on MLOps
Organizations are investing in MLOps to streamline machine learning workflows, with 75% of enterprises adopting MLOps practices by 2025.
Rise of Event-Driven Architectures
Event-driven architecture usage is projected to increase by 40% as companies shift towards more scalable and responsive systems.
Integration of AI in DevOps
AI-driven tools for DevOps are expected to grow by 30%, enhancing automation and efficiency in software development processes.

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