HartleyCo09.02.26
AI SCORE 8.5

AI Platform Infrastructure Engineer - Remote Opportunity

$150K–$225K/year
RemoteAI/Big DataVisaRelocation

About the Role

We are seeking an AI Platform Infrastructure Engineer to join our innovative team at HartleyCo. This role offers a unique opportunity to work remotely while contributing to a cutting-edge AI platform that is transforming a $900B industry. As an AI Platform Infrastructure Engineer, you will play a crucial role in designing and building the infrastructure that enables our AI agents to perform at their best.

What You'll Do

  • Enhance our in-house AI Grid platform by integrating ETL pipelines with LLM orchestration.
  • Build evaluation systems using human-annotated datasets for model fine-tuning (SFT/RL).
  • Develop ML models for reasoning engines, load balancing, and market-making systems.
  • Architect robust data pipelines that feed into multiple destinations, including vector DBs and analytics systems.
  • Implement MCP servers to connect agents with tools and persistent memory.
  • Create voice AI systems for various use cases, including customer service.
  • Integrate payment providers and financial systems directly into our platform.
  • Collaborate closely with forward-deployed engineers to ensure significant business impact.

Requirements

  • Strong background in distributed systems, AI agents, and modern data engineering.
  • Proven experience in TypeScript/Node.js and Python.
  • Track record of building production ML infrastructure and orchestration systems.
  • Experience with MCP protocols, vector DBs, and retrieval-augmented generation.
  • Familiarity with voice AI architecture and real-time processing systems.
  • A bias toward action, with a focus on fast shipping and continuous improvement.

Nice to Have

  • Experience with Databricks, Astronomer, and Temporal.io.
  • Familiarity with Redis Streams, PostgreSQL, and ClickHouse.

What We Offer

  • Competitive salary ranging from $150K to $225K, plus equity.
  • Visa sponsorship available for qualified candidates.
  • Relocation assistance to help you settle into your new role.
  • Opportunity to work alongside an exceptional founding team in a high-growth startup.
  • Chance to shape the technical foundation of a transformative AI platform.
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as an AI Platform Infrastructure Engineer at a well-funded startup, shaping the future of AI technology.

Salary Range
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About HartleyCo

Explore HartleyCo careers in 2026 and discover exciting job openings across remote, hybrid, and office roles. Our platform offers advanced filters to streamline your job search, application tracking to keep you organized, and valuable company insights to help you make informed decisions. Find your perfect career opportunity at HartleyCo today, and take the next step towards a rewarding future.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in TypeScript and Node.js with hands-on experience in developing scalable microservices for AI infrastructure, enabling efficient data processing and model deployment.

Self-motivated and disciplined, thriving in a fully remote work environment, capable of managing time effectively and collaborating asynchronously with cross-functional teams.

Solid understanding of machine learning infrastructure and distributed systems, with a mindset focused on optimizing ETL processes to enhance data flow and model performance.

Learning Resources

TypeScript Handbookguide

Career Path

AI Platform Infrastructure Engineer(Now)Senior AI Infrastructure Engineer(2-4 years)AI Platform Architect(4-6 years)

Market Overview

Market Size 2024
$20.5B
Annual Growth
15.7%
AI Adoption
75%
Investment in AI Infrastructure
+45%
Labour Demand for AI Roles
+30%
Avg Salary for AI Engineers
$130K

Skills & Requirements

Required
TypeScriptNode.jsPython
Growing in Demand
GraphQLDockerKubernetes
Declining
jQueryAngularJS 1.x

Domain Trends

Rise of AI-Driven Development
Over 60% of companies are investing in AI-driven development tools to enhance productivity and reduce time-to-market.
Shift to Serverless Architectures
By 2025, 50% of enterprises will adopt serverless architectures for AI applications, reducing infrastructure management overhead.
Increased Focus on Data Privacy
70% of organizations are prioritizing data privacy compliance in their AI initiatives, influencing infrastructure design and deployment.

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