Talantix.io
Remote Position•12.03.26
AI SCORE 8.5

Senior AI Agent Engineer - Remote

$140K–$200K/year
RemoteAI Development
Python•C++•AI•Machine Learning•Natural Language Processing•Docker•Kubernetes•GCP•AWS

About the Role

We are seeking a highly skilled Senior AI Agent Engineer - Remote to join our innovative team. In this role, you will be at the forefront of developing cutting-edge AI solutions that leverage advanced machine learning techniques. As a Senior AI Agent Engineer, you will work on exciting projects that involve AI/ML technologies, including LangChain and LLaMA, to create intelligent systems that enhance user experiences.

What You'll Do

  • Design and implement AI models and algorithms to solve complex problems.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Conduct research and development to stay ahead of industry trends in AI and machine learning.
  • Optimize AI models for performance and scalability using tools like Docker and Kubernetes.
  • Participate in code reviews and mentor junior engineers to foster a culture of learning.

Requirements

  • 5+ years of experience in AI/ML engineering, with a strong focus on natural language processing (NLP).
  • Proficiency in programming languages such as Python and C++.
  • Experience with AI frameworks and libraries, including TensorFlow, PyTorch, or similar.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Familiarity with cloud platforms like GCP and AWS for deploying AI solutions.

Nice to Have

  • Experience with game development using Unreal Engine.
  • Knowledge of enterprise sales processes and client relationship management.
  • Familiarity with CI/CD practices and DevOps methodologies.

What We Offer

  • 100% remote work with flexible hours to suit your lifestyle.
  • Paid time off and sick leave to ensure work-life balance.
  • Engaging international team with regular online and offline events.
  • Opportunities for professional growth through internal workshops and knowledge-sharing sessions.
  • Quarterly and annual salary reviews to recognize your contributions.
  • ISO 27001-certified remote workplace ensuring a secure working environment.
Why This Job8.5 of 10

This Senior AI Agent Engineer position offers a unique opportunity to work remotely on innovative AI projects with a competitive salary and flexible work hours.

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 building AI models using frameworks like TensorFlow and PyTorch, demonstrating a strong understanding of machine learning algorithms and their practical applications.

→

Self-motivated and disciplined, thriving in a fully remote work environment, with proven experience in collaborating with distributed teams and managing time effectively to meet project deadlines without direct supervision.

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Possesses a strategic mindset with a focus on scalability and deployment of AI solutions using Docker and Kubernetes, as well as experience in cloud platforms such as GCP and AWS to ensure robust infrastructure for machine learning applications.

Learning Resources

→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Natural Language Processing with Pythonguide
→Docker for Data Sciencearticle

Career Path

Senior AI Agent Engineer - Remote(Now)→AI Solutions Architect(1-2 years)→Director of AI Engineering(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
15.2%
AI Adoption
60%
Investment
+200%
Labour Demand
+25%
Avg Salary
$150K

Skills & Requirements

Required
PythonC++AI
Growing in Demand
TensorFlowPyTorchData Engineering
Declining
MATLABR

Domain Trends

Rise of No-Code/Low-Code AI Solutions
The demand for no-code and low-code platforms is increasing, with a projected growth of 28% in 2024 as organizations seek to democratize AI development.
Integration of AI in Cloud Services
Over 70% of enterprises are integrating AI capabilities into their cloud services, particularly with platforms like AWS and GCP, to enhance scalability and efficiency.
Focus on Ethical AI
Ethical AI practices are becoming essential, with 55% of organizations reporting the implementation of guidelines to ensure responsible AI usage in their projects.

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