Talantix.io
Fluxon•18.02.26
AI SCORE 8.5

Remote Senior Software Engineer - AI/​ML Focus

$140K–$200K/year
RemoteAI/Big Data
Python•Java•C++•Scala•R•Docker•Kubernetes•AWS•GCP•Azure•LangChain•Genkit

About the Role

We're hiring a Remote Senior Software Engineer to join our innovative team at Fluxon. As a key player in our product development process, you will lead the design, development, and deployment of AI-powered applications that can transform industries. This is a fantastic opportunity for someone passionate about AI and software engineering to make a significant impact.

What You'll Do

  • Design and implement end-to-end AI systems, focusing on data ingestion, preprocessing, model inference, and output structuring.
  • Develop and optimize Retrieval-Augmented Generation (RAG) systems and Agentic workflows using frameworks such as LangChain and Genkit.
  • Deploy machine learning models to production environments on platforms like AWS, GCP, or Azure, utilizing Docker and Kubernetes for scalability.
  • Implement monitoring and evaluation feedback loops to assess model performance, ensuring accuracy and relevance in production.
  • Collaborate with cross-functional teams, including engineers and product managers, to integrate AI capabilities into core products.
  • Fine-tune open-source models (e.g., Llama, Mistral) for specific tasks, optimizing for latency and cost-effectiveness.

Requirements

  • 5+ years of experience as a software engineer, with a focus on AI/ML technologies.
  • Proficient in Python; experience with Java, C++, Scala, or R is a plus.
  • Strong understanding of AI/ML frameworks and tools.
  • Experience with Docker and Kubernetes for deployment.
  • Ability to work collaboratively in a remote environment.

Nice to Have

  • Experience with cloud platforms (AWS, GCP, Azure).
  • Familiarity with generative AI technologies.
  • Knowledge of data engineering practices.

What We Offer

  • Competitive salary ranging from $140,000 to $200,000 per year.
  • Flexible remote work environment with a focus on work-life balance.
  • Opportunities for professional growth and development.
  • Collaborative and innovative team culture.
  • Health and wellness benefits.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work with cutting-edge AI technologies in a collaborative remote environment. Fluxon is known for its innovative approach and strong team culture.

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

Who Will Succeed Here

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Proficiency in multiple programming languages including Python, Java, and Scala, enabling the candidate to seamlessly integrate AI models into various applications and systems.

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Strong experience with cloud platforms such as AWS, GCP, and Azure, demonstrating the ability to deploy and scale AI solutions effectively in a remote environment.

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A results-driven mindset with a proven track record of leading AI/ML projects from conception to deployment, showcasing the ability to work autonomously while managing complex technical challenges.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Docker Documentationguide
→Kubernetes Basicsarticle

Career Path

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

Market Overview

Python Market Size 2024
$40B
Annual Growth
12.5%
AI Adoption in Python
75%
Investment in AI/ML
+150%
Labour Demand for Python Developers
+20%
Avg Salary for Senior Python Developers
$130K

Skills & Requirements

Required
PythonJavaC++
Growing in Demand
TensorFlowPyTorchData Engineering
Declining
PerlRuby on Rails

Domain Trends

Increased AI/ML Integration
Over 60% of organizations are integrating AI/ML into their existing applications, with Python being the primary language used for these integrations.
Shift Towards Cloud-Native Development
By 2025, 85% of applications will be cloud-native, leading to a 30% increase in demand for skills related to Docker and Kubernetes.
Rise of Automated Machine Learning (AutoML)
AutoML tools are projected to grow by 25% annually, simplifying ML model creation and making Python developers with AutoML experience highly sought after.

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