Varicent10.03.26
AI SCORE 8.5

Senior Software Engineer - Generative AI

$140K–$180K/year

About the Role

Join Varicent as a Senior Software Engineer specializing in Generative AI. This remote position allows you to innovate and build impactful solutions for customers worldwide. You'll thrive in a collaborative environment where your engineering skills will contribute to the development of cutting-edge AI systems.

What You'll Do

  • Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
  • Build and maintain reliable services and workflows that support AI features in production.
  • Define how quality is measured for your area, including success metrics and test strategies, and automate it wherever possible.
  • Run structured experiments, interpret results, and translate learnings into product improvements.
  • Improve operational readiness through deployment automation, monitoring, alerting, incident follow-up, and performance/cost optimizations.
  • Mentor teammates through design feedback, code reviews, and practical guidance.

Requirements

  • 6+ years in software engineering, with 3+ years building and shipping production software in product teams.
  • Bachelor’s degree in computer science, engineering, or a related field.
  • Strong software engineering fundamentals and system design.
  • Hands-on coding experience in Python and/or TypeScript, APIs/services, and data pipelines.
  • Experience with cloud platforms, CI/CD, automated testing, and observability.
  • Experimentation mindset: define metrics, build evaluations, and iterate quickly.

Nice to Have

  • Experience with Generative AI/LLM technologies, including prompt engineering and evaluation pipelines.
  • Familiarity with tools such as AWS, LangChain, OpenAI, and vector databases.
  • External contributions to open source projects or technical blogs.

What We Offer

  • Market-leading compensation package.
  • Wellness programs to support health and wellbeing.
  • Remote work flexibility with a focus on results-driven culture.
  • Comprehensive employee insurance coverage: medical, dental, vision, and life insurance.
  • Annual time off in accordance with legislative requirements.
  • Continuous development opportunities in a dynamic work culture.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Software Engineer role at Varicent offers a unique opportunity to work on Generative AI projects in a fully remote setting, with competitive compensation and a focus on innovation.

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

Who Will Succeed Here

Proficient in Python and TypeScript, with a strong emphasis on building scalable APIs and data pipelines that leverage AWS services like Lambda and S3 for efficient cloud-based solutions.

Self-motivated and disciplined, capable of thriving in a remote work environment, while effectively managing time and collaborating with cross-functional teams using tools like Jira and Slack.

Experienced in implementing CI/CD pipelines and automated testing frameworks, demonstrating a proactive approach to observability and performance monitoring in complex AI systems.

Learning Resources

Python for Data Science and Machine Learning Bootcampcourse

Career Path

Senior Software Engineer - Generative AI(Now)Lead Software Engineer - AI Solutions(1-2 years)Engineering Manager - AI Development(3-5 years)

Market Overview

Market Size 2024
$4.5B
Annual Growth
22.5%
AI Adoption in Software Development
75%
Investment in Generative AI
+150%
Labour Demand for Python Developers
+30%
Avg Salary for Senior Python Engineers
$145K

Skills & Requirements

Required
PythonTypeScriptAWS
Growing in Demand
Machine LearningData EngineeringCloud Architecture
Declining
JavaC++

Domain Trends

Rise of Generative AI Applications
The generative AI market is expected to reach $20B by 2025, driven by demand for AI-driven content creation and automation.
Increased Focus on Data Privacy
Around 68% of organizations are prioritizing data privacy in AI applications, influencing the design and implementation of AI solutions.
Shift Towards Serverless Architectures
Adoption of serverless computing is projected to grow by 30% annually, as companies seek to reduce infrastructure costs and improve scalability.

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