AI SCORE 8.5

AI Engineer - Remote Opportunity

$120K–$150K/year

About the Role

We are seeking an AI Engineer remote to join our innovative team at Avesta Computer Services. In this role, you will help build the next generation of intelligent agents that power our enterprise-grade AI platform. You will work on autonomous systems that reason, collaborate, and deliver actionable insights across complex enterprise environments.

What You'll Do

  • Design, build, and scale intelligent multi-agent systems capable of performing complex reasoning, analysis, and decision-support tasks autonomously.
  • Architect and optimize AI workflows that integrate large language models (LLMs), tools, and retrieval mechanisms into reliable, explainable, and repeatable outcomes.
  • Develop evaluation and control frameworks to ensure agent accuracy, traceability, and performance in dynamic enterprise settings.
  • Collaborate closely with product, engineering, and customer teams to translate business problems into scalable AI capabilities.
  • Continuously refine agent behavior and orchestration through experimentation, system-level tuning, and real-world feedback.

Requirements

  • 3–6 years of experience in applied AI, machine learning, or software systems engineering.
  • Hands-on experience with LLM frameworks and agentic architectures such as LangChain, LlamaIndex, AutoGen, or similar.
  • Strong software fundamentals in Python, APIs, and data handling — capable of designing systems, not just models.
  • Deep curiosity about how AI can simulate reasoning, collaboration, and autonomy within real business ecosystems.
  • Ability to thrive in high-context, high-velocity environments where your work shapes the core intelligence of the company.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 annually.
  • Visa sponsorship available for qualified candidates.
  • Flexible remote work environment.
  • Opportunities for professional growth and development.
  • Collaborative team culture focused on innovation and excellence.
Why This Job8.5 of 10

This remote AI Engineer role at Avesta Computer Services offers a competitive salary and the chance to work on cutting-edge AI technologies. Ideal for professionals seeking growth and innovation.

Salary Range
Required
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Optional
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Bonus
0/1

About Avesta Computer Services

Explore exciting career opportunities at Avesta Computer Services in 2026. Discover a range of remote, hybrid, and office roles tailored to your skills. Utilize advanced filters to narrow down job listings, track your applications, and gain valuable insights about the company. Start your journey towards a fulfilling career with Avesta Computer Services today and unlock your potential in the tech industry.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python with hands-on experience in machine learning frameworks such as TensorFlow or PyTorch, enabling the development of scalable AI solutions.

Self-motivated and disciplined to work remotely, demonstrating strong time management and the ability to deliver high-quality code independently while collaborating asynchronously with team members.

Experience with LLMs and specific libraries like LangChain and LlamaIndex, showcasing a deep understanding of natural language processing and the ability to implement cutting-edge AI technologies.

Learning Resources

Python for Data Science and Machine Learning Bootcampcourse

Career Path

AI Engineer - Remote Opportunity(Now)Senior AI Engineer(1-2 years)Lead AI Architect(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
21.5%
AI Adoption
75%
Investment
+150%
Labour Demand
+35%
Avg Salary
$120K

Skills & Requirements

Required
PythonMachine LearningLLM
Growing in Demand
TensorFlowPyTorchNatural Language Processing (NLP)
Declining
R ProgrammingMatlab

Domain Trends

Increased Demand for LLMs
The market for Large Language Models (LLMs) is expected to grow by 30% annually as companies integrate these models into their operations.
Rise of AutoML Tools
Automated Machine Learning (AutoML) tools are gaining traction, with a projected increase in usage by 40% over the next two years, making it easier for engineers to deploy ML models.
Focus on Ethical AI
There is a growing emphasis on ethical AI practices, with 60% of organizations implementing guidelines to ensure transparency and fairness in AI systems.

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