Talantix.io
ClickHouse•06.03.26
AI SCORE 8.5

Remote Senior Software Engineer - AI/​ML Integration

$140K–$200K/year
RemoteAI/Big Data
Python•Java•C++•TensorFlow•PyTorch•API Design•AWS•Google Cloud•Azure

About the Role

We're hiring a Remote Senior Software Engineer to join our innovative team at ClickHouse. In this role, you'll be at the forefront of developing AI/ML-powered features that enhance our cloud platform. As a Senior Software Engineer, you will bridge the gap between high-performance database technology and advanced AI capabilities, implementing integrations that transform how users interact with their data.

What You'll Do

  • Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
  • Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
  • Collaborate with cross-functional teams to define, design, and ship new features that leverage AI/ML technologies.
  • Optimize existing features and services for performance and scalability, ensuring a seamless user experience.
  • Participate in code reviews and contribute to a culture of continuous improvement and learning.

Requirements

  • 5+ years of experience as a Software Engineer, with a focus on AI/ML integrations.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Solid understanding of API architecture and design principles.
  • Familiarity with cloud platforms and services (AWS, Google Cloud, Azure).

Nice to Have

  • Experience with real-time analytics and data warehousing solutions.
  • Knowledge of database technologies, particularly ClickHouse.
  • Familiarity with frontend technologies (React, Angular, etc.).

What We Offer

  • Competitive salary range of $140,000 - $200,000 per year.
  • Fully remote work environment with flexible working hours.
  • Opportunity to work with cutting-edge AI technologies and innovative projects.
  • Comprehensive health benefits and wellness programs.
  • Professional development opportunities and learning budgets.
Why This Job8.5 of 10

This role offers a unique opportunity to work at a leading company in AI/ML technology, with a competitive salary and a fully remote work environment.

Salary Range
Required
0/1
Optional
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Bonus
0/1

Who Will Succeed Here

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Proficiency in Python and experience with AI/ML frameworks like TensorFlow and PyTorch to effectively integrate advanced machine learning features into cloud platforms.

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Strong understanding of API design principles and experience in developing scalable APIs that facilitate seamless data interaction between high-performance databases and AI applications.

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Demonstrated experience with cloud platforms (AWS, Google Cloud, Azure) and a proactive mindset for leveraging cloud-native services to enhance system performance and reliability.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Google Cloud Documentation for AI and Machine Learningguide
→Designing RESTful APIsarticle

Career Path

Remote Senior Software Engineer - AI/ML Integration(Now)→Lead Software Engineer - AI/ML Systems(1-2 years)→Engineering Manager - AI/ML Integration(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.3%
AI Adoption
75%
Investment
+150%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonJavaC++
Growing in Demand
Machine Learning Operations (MLOps)Data EngineeringNatural Language Processing (NLP)
Declining
PerlVBScript

Domain Trends

Rise of Automated Machine Learning (AutoML)
AutoML tools are expected to grow by 40% in adoption, allowing non-experts to build models, which will shift the demand towards Python developers skilled in these tools.
Increased Focus on Ethical AI
By 2025, 60% of organizations will prioritize ethical AI practices, leading to a demand for engineers who can integrate ethical considerations into AI/ML models.
Cloud-Native AI Solutions
With 80% of AI workloads projected to run on cloud platforms, expertise in AWS, Google Cloud, and Azure will be critical for developers, especially those focused on AI/ML integration.

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