Principal Ai Engineer (Remote in CT)

Job Description A rapidly expanding organization at the forefront of artificial intelligence, cloud technologies, and large-scale data platforms is seeking a

Principal AI Engineer

to join its fully remote engineering team. This opportunity is open to candidates residing in

Connecticut

who are excited by the challenge of building enterprise-grade AI systems used in highly complex and data-intensive environments.
As a Principal AI Engineer, you will be responsible for defining and executing the technical strategy for machine learning operations, generative AI infrastructure, and intelligent application platforms. You'll work across cloud architecture, distributed systems, AI deployment, and platform engineering to ensure scalable, secure, and reliable AI services.
This role offers significant technical ownership for an engineer who enjoys solving difficult architecture problems, leading large initiatives, and bringing cutting-edge AI capabilities into production environments. You will partner with engineering, data, security, and product teams to create platforms that support everything from model deployment and inference to observability, governance, and optimization.

Required Skills & Experience

10 years of software engineering, cloud infrastructure, or platform engineering experience

Strong track record designing and supporting large-scale distributed systems

Experience serving as a technical lead, architect, principal engineer, or similar senior-level contributor

Extensive experience developing and operating AI/ML platforms in production environments

Hands-on experience deploying and supporting Large Language Models (LLMs) at scale

Deep understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search, prompt management, and AI orchestration

Expert-level Python and TypeScript development skills

Experience building secure, scalable APIs and backend services

Strong knowledge of AWS cloud services and containerized workloads

Experience with Infrastructure as Code using CloudFormation, CDK, or comparable frameworks

Understanding of CI/CD methodologies and automation practices

Expertise implementing observability solutions including monitoring, alerting, logging, and distributed tracing

Experience securing multi-tenant platforms and managing sensitive data requirements

Excellent communication skills with the ability to influence technical direction across teams

Desired Skills & Experience

Experience with advanced LLM orchestration and agent frameworks

Knowledge of AI evaluation pipelines, model testing strategies, and quality measurement systems

Familiarity with AI cost optimization, GPU utilization, and inference efficiency techniques

Experience designing agent-based applications and tool-calling workflows

Exposure to multimodal AI solutions involving image, laboratory, or scientific datasets

Understanding of model optimization techniques including fine-tuning, quantization, and distillation

Experience supporting regulated environments with strict compliance requirements

Background in life sciences, healthcare, scientific research, or laboratory technology domains

What You Will Be Doing Daily Responsibilities

Lead architectural decisions for enterprise AI and machine learning platforms

Design and evolve infrastructure supporting model deployment, governance, and scalability

Build solutions for both real-time inference and large-scale batch processing workloads

Define standards for model lifecycle management, versioning, promotion, and rollback

Create secure frameworks for AI systems operating across multi-tenant environments

Develop processes that ensure AI outputs meet quality, performance, and reliability objectives

Implement monitoring and observability solutions for production AI systems

Drive improvements in system performance, resiliency, scalability, and operational efficiency

Collaborate with software engineers, data teams, and security stakeholders on platform initiatives

Establish best practices for AI engineering, architecture, and deployment

Lead technical design reviews and mentor engineers across multiple teams

Evaluate emerging AI technologies and recommend strategic adoption opportunitiesSupport infrastructure automation and cloud-native deployment processes

The Offer

Competitive compensation package

Fully remote position for candidates located in Connecticut

Opportunity to influence the direction of a rapidly growing AI platform

High-visibility leadership role with substantial architectural ownership

Collaborative engineering culture focused on innovation and continuous improvement

You will receive the following benefits

Medical Insurance

Dental Benefits

Vision Benefits

Unlimited Paid Time Off (PTO)

401(k)

Life Insurance

Short-Term Disability Coverage

Long-Term Disability Coverage
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Sponsorship is not available for this position.

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