Talantix.io
SPACE44•19.02.26
AI SCORE 8.5

Senior AI Operations Engineer – Freelance (Remote)

$120K–$150K/year
RemoteSoftware Development
AI Systems•API Integration•LLM Systems•Workflow Automation•Monitoring•Logging•Operational Metrics

About the Role

We are seeking a Senior AI Operations Engineer to join our team in a fully remote capacity. As a Senior AI Operations Engineer, you will operate and continuously improve AI systems built on the PIPE44 platform in client environments. Your focus will be on stability, quality, governance, and controlled evolution after go-live. This role offers a unique opportunity to work with cutting-edge technology and engage in innovative projects while maintaining a harmonious work-life balance.

What You'll Do

  • Operate and maintain AI systems based on PIPE44 in client environments.
  • Configure, deploy, and manage AI agents and workflows.
  • Monitor AI behavior and execution outcomes.
  • Maintain governed knowledge sources and monitor retrieval quality.
  • Handle quality incidents and support integrations with client systems.
  • Act as the operational owner of AI systems after go-live.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience operating complex production systems (platform ops, SRE, production engineering, DevOps, or similar).
  • Strong experience with API-based system integrations.
  • Practical experience with LLM-based systems is preferred.
  • Familiarity with AI agents and workflow automation.
  • Solid grasp of access control and system governance.
  • Experience with monitoring, logging, and operational metrics.

Nice to Have

  • Experience in a freelance capacity.
  • Knowledge of advanced data science and machine learning techniques.
  • Exposure to international team dynamics.

What We Offer

  • Flexible work schedule for a harmonious work-life balance.
  • Access to advanced training opportunities in data science and machine learning.
  • Engagement in cutting-edge projects with the latest tools and technologies.
  • Competitive income with regular performance reviews.
  • Collaboration with a diverse, international team.
  • Fully remote environment with no on-call rotation.
  • Gradual onboarding process transitioning from part-time to full-time.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior AI Operations Engineer role offers the chance to work remotely on innovative AI projects with a flexible schedule and competitive salary.

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

Who Will Succeed Here

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Proficient in AI Systems and LLM (Large Language Models) with hands-on experience in deploying and managing models using platforms like TensorFlow or PyTorch, ensuring high availability and performance in production environments.

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Strong understanding of API integration for AI services, with experience in building and maintaining scalable APIs using frameworks like FastAPI or Flask, while also demonstrating a proactive approach to monitoring and optimizing API performance.

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Experience in implementing workflow automation tools such as Apache Airflow or Prefect, combined with a data-driven mindset focused on operational metrics to enhance system reliability and governance in a fully remote work environment.

Learning Resources

→Introduction to AI Operationscourse
→Building AI Applications with Pythonarticle
→API Development with FastAPIguide

Career Path

Senior AI Operations Engineer – Freelance (Remote)(Now)→Lead AI Operations Engineer(1-2 years)→AI Infrastructure Architect(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
38.8%
AI Adoption
60%
Investment in AI Operations
+150%
Labour Demand for AI Engineers
+45%
Avg Salary for Senior AI Ops Engineer
$150K

Skills & Requirements

Required
AI SystemsAPI IntegrationLLM Systems
Growing in Demand
MLOpsCloud AI Services (AWS/Azure)Data Governance
Declining
Traditional IT Operations ManagementManual Data Entry

Domain Trends

Increased Automation in AI Operations
Companies are automating over 50% of their AI workflows, resulting in a 35% reduction in operational costs.
Shift towards LLM Systems
The adoption of Large Language Models has increased by 70% among enterprises, driving demand for specialized integration skills.
Focus on AI Ethics and Governance
80% of organizations are prioritizing AI ethics, leading to a 50% rise in roles focused on AI compliance and governance.

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