AI Platform Engineer

This range is provided by The Finders. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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In this hybrid AI Platform Engineer role, you will have the chance to join a growing and innovative AI/Data organization, and the timing couldn’t be better!

Company Information:

• Leader in their industry
• Growing Exponentially
• Employs over 500+
• Been in business for 10 years
• Hybrid role – 3 days in-office
• Ability to make an impact
• Competitive salaries, bonus, great culture, and benefits including possible relocation assistance

Salary Range:

• There are several different tiers and salaries will depend on experience.
• General range however is 160K-220K base plus a 15% bonus.

Overview:

We are seeking a highly experienced AI Platform Engineer to design, build, and operate the core services powering AI-driven products. In this role, you will architect scalable systems, design developer-friendly APIs and SDKs, and work directly with modern AI/ML and LLM technologies to deliver reliable, production-grade solutions. You will join a team solving complex distributed systems challenges while shaping the technical direction of a platform.

• 8+ years of experience in backend software engineering, platform engineering, or MLOps, with success architecting and operating complex systems at scale.
• 2+ years of direct, hands-on experience building applications or platforms on top of AI/ML models or LLMs.
• Expert-level proficiency in Python and deep experience with modern software architecture and API design.
• Demonstrated ability to build maintainable, well-documented SDKs and tooling for other developers.
• Strong hands-on experience with Kubernetes and building services in multi-cloud PaaS environments (AWS, Azure, GCP).
• Solid understanding of Infrastructure as Code
  -Terraform
• Proven experience building and operating production-grade SaaS platforms, with strong knowledge of CI/CD, monitoring, telemetry, and reliability engineering.
• Practical experience with LLM orchestration frameworks such as Bedrock, Vertex, Semantic Kernel, or Lang Chain.
• Strong problem-solving skills and the ability to navigate ambiguous or rapidly changing environments.
• Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
• A passion for building scalable, resilient systems and raising the engineering bar across the team.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries Software Development and IT System Data Services

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Medical insurance

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401(k)

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