Overview
On Site
180k - 200k
Full Time
Skills
Virtual Team
Backbone.js
Innovation
Lifecycle Management
Amazon Web Services
Python
TypeScript
Databricks
Docker
Continuous Integration
Continuous Delivery
Real-time
Communication
Orchestration
Cloud Computing
Machine Learning Operations (ML Ops)
Analytics
Writing
Collaboration
Machine Learning (ML)
Architectural Design
Research
Prototyping
Artificial Intelligence
Insurance
Life Insurance
Coaching
Continuous Improvement
SAP BASIS
Job Details
Senior Platform Engineer
A rapidly growing AI-driven organization is seeking a Senior AI Platform Engineer to join their fully remote team. This full-time role centers on modern cloud technology, large-scale data systems, and production-grade ML/AI infrastructure. You'll work with cutting-edge platforms like AWS, Databricks, and MLOps tooling to support scalable model deployment, experimentation, and automated pipelines across a global environment.
This opportunity is ideal for someone who loves building the backbone of AI innovation. You'll help architect the core platform that empowers data scientists, ML engineers, and product teams to deliver high-impact AI solutions quickly and reliably. This team embraces rapid iteration, deep technical ownership, and a culture where engineers have room to experiment, grow, and shape the future of platform capabilities. If you want ownership, cutting-edge tech, and a role where your work directly influences ML performance at scale, this is the one.
Required Skills & Experience
This role is bonus-eligible.
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
A rapidly growing AI-driven organization is seeking a Senior AI Platform Engineer to join their fully remote team. This full-time role centers on modern cloud technology, large-scale data systems, and production-grade ML/AI infrastructure. You'll work with cutting-edge platforms like AWS, Databricks, and MLOps tooling to support scalable model deployment, experimentation, and automated pipelines across a global environment.
This opportunity is ideal for someone who loves building the backbone of AI innovation. You'll help architect the core platform that empowers data scientists, ML engineers, and product teams to deliver high-impact AI solutions quickly and reliably. This team embraces rapid iteration, deep technical ownership, and a culture where engineers have room to experiment, grow, and shape the future of platform capabilities. If you want ownership, cutting-edge tech, and a role where your work directly influences ML performance at scale, this is the one.
Required Skills & Experience
- 7+ years in software or infrastructure engineering roles.
- Strong experience running production AI/ML infrastructure, including model lifecycle management.
- Advanced knowledge of AWS services and infrastructure-as-code (CloudFormation, CDK, or similar).
- Proficiency with Python and TypeScript for APIs, backend systems, and automation.
- Hands-on experience with Databricks, MLflow, or similar model registration/serving systems.
- Strong containerization experience (Docker) and familiarity with CI/CD and orchestration (ECS or similar).
- Proven ability to design secure, scalable, and reliable infrastructure for batch and real-time ML workloads.
- Excellent communication skills and ability to partner with cross-functional engineering teams.
- Familiarity with LLM orchestration tools such as DSPy.
- Experience optimizing LLM performance (latency, cost, usage analytics).
- Knowledge of vector/embedding systems such as OpenSearch.
- Background integrating LLMs into architectures like RAG (retrieval-augmented generation).
- 40% Cloud-native infrastructure engineering
- 30% MLOps systems, pipelines, and model operations
- 20% Data ingestion, transformation, and analytics support
- 10% LLM/RAG integration and platform enhancements
- 60% Hands-On Engineering (building pipelines, writing IaC, deploying infrastructure)
- 20% Collaboration with AI/ML engineers, data engineers, and platform teams
- 10% Architectural Design & Reliability Improvements
- 10% Researching & Prototyping New AI/Platform Technologies
This role is bonus-eligible.
You will receive the following benefits:
- Medical, Dental, and Vision Insurance
- Unlimited PTO
- 401K
- Flexible remote work environment
- Company-paid Life Insurance, LTD/STD
- A strong culture of coaching and continuous improvement
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.