Talantix.io
Ada•11.03.26
AI SCORE 8.5

Remote Senior Software Engineer - AI Training Platform

$140K–$180K/year
RemoteAI Customer Service
Python•Java•JavaScript•AWS•Azure•TensorFlow•PyTorch

About the Role

We're hiring a Remote Senior Software Engineer to join our innovative team at Ada. As a leader in AI customer service, you'll play a crucial role in transforming how enterprises deliver customer experiences. This Remote Senior Software Engineer position offers you the chance to work on cutting-edge AI technology that powers over 5.5 billion interactions.

What You'll Do

  • Design, develop, and maintain scalable software solutions that enhance our AI customer service platform.
  • Collaborate with cross-functional teams to define, design, and ship new features for our AI training tools.
  • Optimize application performance, reliability, and scalability in a cloud-based environment.
  • Mentor junior engineers and contribute to a culture of continuous improvement and innovation.
  • Participate in code reviews and ensure adherence to best practices in software development.

Requirements

  • 5+ years of experience as a software engineer, with a focus on AI or machine learning technologies.
  • Proficiency in programming languages such as Python, Java, or JavaScript.
  • Experience with cloud platforms like AWS or Azure.
  • Strong understanding of software development methodologies and agile practices.
  • Excellent problem-solving skills and the ability to work independently in a remote environment.

Nice to Have

  • Experience with AI frameworks such as TensorFlow or PyTorch.
  • Familiarity with customer service platforms and automation tools.
  • Knowledge of DevOps practices and CI/CD pipelines.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Flexible working hours and a fully remote work environment.
  • Opportunities for professional growth and development.
  • Health and wellness benefits, including mental health support.
  • A collaborative and inclusive company culture that values innovation and creativity.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Join Ada as a Remote Senior Software Engineer and work on innovative AI solutions that transform customer service. Enjoy a competitive salary and flexible work.

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

Who Will Succeed Here

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Proficient in Python and JavaScript frameworks like Django or React, with hands-on experience in deploying applications on AWS or Azure, ensuring robust and scalable solutions.

→

Strong problem-solving mindset with a focus on designing AI-driven features, utilizing TensorFlow and PyTorch for building and optimizing machine learning models to enhance customer interactions.

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Demonstrated experience in leading remote teams, showcasing self-motivation and accountability while adhering to Agile methodologies for software development.

Learning Resources

→Python for Data Science Handbookguide
→AWS Certified Solutions Architect - Associate 2023course
→Deep Learning with PyTorch: A 60 Minute Blitzarticle

Career Path

Remote Senior Software Engineer - AI Training Platform(Now)→Lead Software Engineer - AI Solutions(1-2 years)→Director of Software Engineering(3-5 years)

Market Overview

Market Size 2024
$15.5B
Annual Growth
12.8%
AI Adoption
75%
Investment in AI Platforms
+45%
Labour Demand for AI Engineers
+30%
Avg Salary for Senior Software Engineers
$140K

Skills & Requirements

Required
PythonJavaJavaScript
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
Java (pre-8 versions)PHP

Domain Trends

Increase in AI Model Deployment
Over 60% of organizations are increasing their deployment of AI models, leading to higher demand for engineers skilled in TensorFlow and PyTorch.
Shift to Cloud-Native AI Solutions
By 2025, 80% of AI workloads are expected to be cloud-based, driving demand for skills in AWS and Azure.
Focus on Ethical AI Practices
Around 70% of tech companies are prioritizing ethical AI development, necessitating engineers to integrate fairness and transparency into AI training platforms.

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