In this hybrid Sr AI Platform Engineer role you will have the chance to join a growing and innovative AI/Data organization and the timing couldnt be better!
Company Information:
- Leader in their industry
- Growing Exponentially
- Employs over 500 talented individuals
- Been in business for 10 years
- Hybrid role 3 days in-office
- Innovative Tech
- 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-200K base plus a 15% bonus.
Overview:
We are seeking a highly experienced Senior Platform AI Engineer to design build and operate the core services powering AI-driven 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.
Background Profile:
- 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 LangChain.
- 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.
To be IMMEDIATELY considered please send a resume to
In this hybrid Sr AI Platform Engineer role you will have the chance to join a growing and innovative AI/Data organization and the timing couldnt be better!Company Information:Leader in their industryGrowing ExponentiallyEmploys over 500 talented individualsBeen in business for 10 yearsHybrid role ...
In this hybrid Sr AI Platform Engineer role you will have the chance to join a growing and innovative AI/Data organization and the timing couldnt be better!
Company Information:
- Leader in their industry
- Growing Exponentially
- Employs over 500 talented individuals
- Been in business for 10 years
- Hybrid role 3 days in-office
- Innovative Tech
- 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-200K base plus a 15% bonus.
Overview:
We are seeking a highly experienced Senior Platform AI Engineer to design build and operate the core services powering AI-driven 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.
Background Profile:
- 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 LangChain.
- 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.
To be IMMEDIATELY considered please send a resume to
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