AI Engineer - Python/Kotlin/LLMs - Waltham

Kelly Services Inc.
Waltham, MA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$127,000.0 - $220,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Information Engineering Extract Transform Load (ETL) Distributed Systems Python (Programming Language) Machine Learning Software Engineering Systems Architecture Systems Integration
+9 more
Large Language Models Generative AI Backend Kotlin AI Platforms Api Design Data Pipelines Golang Microservices

Job description

In this role, you will design and develop real-time AI systems, integrate LLMs and machine learning models into scalable applications, and deliver production-ready AI capabilities that directly impact customer outcomes. You will partner closely with product and engineering teams while owning AI features throughout the full lifecycle, from development and deployment to monitoring and optimization., What You Will Be Doing Daily Responsibilities: 100% Hands-On Engineering

  • Design, build, and optimize backend services, APIs, and microservices that support AI-powered workflows
  • Integrate machine learning and LLM solutions into scalable production systems
  • Own AI-driven features from development through deployment, monitoring, and continuous improvement
  • Build evaluation frameworks to measure and improve LLM quality and performance
  • Troubleshoot issues across AI services, model-serving infrastructure, and backend platforms
  • Collaborate with cross-functional teams on system architecture, technical planning, and product initiatives
  • Enhance system scalability, reliability, observability, and overall performance

Requirements

This is not a traditional data engineering position focused on ETL processes or batch data pipelines. Instead, the role centers on backend services, model integration, API development, AI evaluations, and production infrastructure. Required Skills & Experience

  • 4+ years of backend software engineering experience using Python, Go, Java, or similar languages
  • 4+ years of experience integrating machine learning or large language models into production environments
  • Experience building and maintaining APIs, backend services, and microservices
  • Strong understanding of distributed systems, cloud infrastructure, and observability practices
  • Experience implementing monitoring, evaluation, and quality frameworks for AI systems
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work effectively in a fast-paced and evolving environment

Desired Skills & Experience

  • Experience building Generative AI applications and agentic workflows
  • Hands-on experience with real-time AI platforms and model-serving infrastructure
  • Experience supporting and optimizing AI features after deployment
  • Background collaborating with product and engineering teams on architecture and technical strategy
  • Passion for building scalable, reliable, and customer-focused AI solutions

Benefits & conditions

The Offer

  • Full-time opportunity
  • Hybrid work schedule with 3 days onsite per week in the Waltham, MA area
  • Base salary: $127,000 - $220,000
  • Annual performance-based incentive opportunity

You will receive the following benefits

  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Flexible Paid Time Off (PTO)
  • 401(k) Plan
  • Parental Leave
  • Life Insurance
  • Disability Coverage

About the company

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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