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Principal Ai Engineer (Remote in CT)
Kelly Services
5 hours ago
Full-time
On-site
Hartford, Connecticut, United States
$180000 - $245000
Job DescriptionA 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 opportunities
Support 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. Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
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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 opportunities
Support 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. Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.
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