Talantix.io
Apeirum•13.03.26
AI SCORE 8.5

Remote Software Engineer (Python/​C#) - AI & RAG

$90K–$120K/year
RemoteAI Software Development
Python•C•.NET•AI•APIs•Docker•Azure•CI/CD•React•TypeScript•HTML•Angular•Ionic•Django•Restful-api•MySQL•GitLab•Linux

About the Role

We are looking for a talented Remote Software Engineer (Python/C#) to join our dynamic team. In this role, you will contribute to the development of cutting-edge AI and Reinforcement Learning (RAG) applications. As a Remote Software Engineer, you will work with a variety of technologies including Python, C#, and cloud platforms to create innovative solutions that drive our business forward.

What You'll Do

  • Design and implement scalable software solutions using Python and C#.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Develop and maintain APIs and microservices for various applications.
  • Participate in code reviews to ensure code quality and best practices.
  • Utilize CI/CD pipelines for efficient software delivery.
  • Work on AI and machine learning projects, focusing on LLM workflows and reinforcement learning.
  • Support and troubleshoot production issues as they arise.
  • Contribute to the development of documentation and training materials.

Requirements

  • 3+ years of experience as a Software Engineer, with a focus on Python and C#.
  • Strong understanding of software engineering principles and best practices.
  • Experience with cloud platforms like Azure and containerization technologies such as Docker.
  • Familiarity with front-end technologies (React, Angular, TypeScript) is a plus.
  • Knowledge of asynchronous programming and WebSockets.
  • Experience with databases, particularly MySQL.
  • Ability to work independently in a remote setting and manage time effectively.
  • Excellent problem-solving skills and a passion for technology.

Nice to Have

  • Experience with reinforcement learning and AI frameworks.
  • Familiarity with FastAPI and Django.
  • Knowledge of GitLab and Linux environments.

What We Offer

  • 23 days of holidays to ensure work-life balance.
  • A learning budget for courses and conferences to enhance your skills.
  • Top-tier hardware or a BYOD budget for your work setup.
  • Flexible working hours to accommodate your lifestyle.
  • Remote work as the default mode, with occasional travel to Switzerland.
  • Yearly strategic off-site to connect with the team and align on goals.
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as a Software Engineer focusing on AI and RAG. With competitive benefits and a supportive team, it's an excellent choice for tech professionals.

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

Who Will Succeed Here

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Proficient in Python and C# with hands-on experience in developing AI applications and implementing Reinforcement Learning algorithms, showcasing a strong understanding of machine learning principles.

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Self-motivated and disciplined, thriving in a remote work environment, with the ability to manage time effectively and collaborate asynchronously using tools like GitHub and Slack.

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Experience with cloud services such as Azure, including deploying applications using Docker and CI/CD pipelines, and a proactive mindset for continuous integration and delivery in software development.

Learning Resources

→Python for Data Science and AIcourse
→Docker Documentationguide
→Understanding Reinforcement Learningarticle

Career Path

Remote Software Engineer (Python/C#)(Now)→Lead Software Engineer specializing in AI applications(1-2 years)→Technical Architect for AI and Cloud Solutions(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
9.5%
AI Adoption
75%
Investment in AI Tech
+40%
Labour Demand for Python Developers
+22%
Avg Salary for Remote Software Engineers (Python/C#)
$120K

Skills & Requirements

Required
PythonC.NET
Growing in Demand
Machine LearningData EngineeringCloud Computing (Azure)
Declining
jQueryClassic ASP

Domain Trends

Rise of AI-Powered Applications
The demand for AI-driven solutions is increasing, with 75% of companies planning to invest in AI technologies by 2025.
Shift to Cloud-Native Development
Over 60% of enterprises are transitioning to cloud-native architectures, emphasizing skills in Azure and containerization with Docker.
Integration of CI/CD in Development Processes
Continuous integration and delivery practices are becoming standard, with 80% of organizations adopting CI/CD tools, enhancing the need for developers proficient in these methodologies.

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