Senior Platform Engineer- Scientific Data Company

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

• 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.

   

Desired Skills & Experience

• 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).

   

What You Will Be Doing Tech Breakdown

• 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

Daily Responsibilities

• 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

The Offer

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.