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Kelly Services seeks an AI Platform Engineer in Waltham, MA, for end-to-end AI feature development. You will design backend services, deploy ML/LLM models, and drive optimization in real-time AI workflows.
You will collaborate with Product and Engineering to build scalable, observable AI platforms and ensure reliability in production environments. Hybrid work with onsite presence is required.
$127000 - $220000
Job DescriptionA fast-growing technology company is seeking an AI Platform Engineer to help design, build, and scale next-generation AI capabilities that power customer-facing experiences and business-critical workflows.
This role is ideal for a strong software engineer with hands-on experience deploying AI solutions into production environments. You will work on real-time AI systems, backend services, and agentic workflows that leverage large language models (LLMs) and machine learning technologies to solve complex business challenges.
The team is looking for an engineer who can own solutions end-to-end, from architecture and development through deployment, monitoring, and continuous improvement. You'll partner closely with Product and Engineering teams while helping shape the future of AI-powered applications in a highly collaborative, innovation-driven environment.
Location: Waltham, MA (Hybrid, 3 Days Onsite per Week)
Employment Type: Full-Time
Base Salary: $127,000 - $220,000 Required Skills & Experience
4+ years of backend software engineering experience using Python, Go, Java, or similar languages
4+ years of experience deploying machine learning or large language model solutions into production environments
Experience building scalable APIs, backend services, and microservices architectures
Strong understanding of cloud infrastructure, distributed systems, and observability
Experience creating monitoring, evaluation, and performance frameworks for AI applications
Strong troubleshooting and problem-solving capabilities
Excellent communication and cross-functional collaboration skills
Desired Skills & Experience
Experience building agentic AI systems and autonomous workflows
Hands-on experience with modern LLM frameworks and model serving platforms
Experience designing highly available, real-time application architectures
Familiarity with MLOps, model lifecycle management, and AI governance practices
Experience supporting AI applications after deployment and driving continuous optimization
What You Will Be DoingDaily Responsibilities: 100% Hands On
Design and develop backend services, APIs, and microservices that power AI-driven applications and workflows
Integrate machine learning and large language models into scalable production environments
Own AI features throughout the full development lifecycle, including implementation, deployment, monitoring, and optimization
Build evaluation frameworks that measure AI quality, reliability, and performance
Troubleshoot issues across AI systems, model-serving infrastructure, backend applications, and supporting services
Collaborate with Product and Engineering teams on architecture, system design, and technical planning initiatives
Improve scalability, observability, performance, and reliability across AI platforms and services
The Offer
Competitive base salary of $127,000 - $220,000
Annual performance-based incentive opportunity
Opportunity to work on cutting-edge AI, LLM, and agentic workflow initiatives
Significant ownership and influence over next-generation AI products
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Flexible Paid Time Off (PTO)
401(k)
Parental Leave
Life Insurance
Disability Coverage
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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.