Principal AI Engineer - Servicing Solutions
GoodleapSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess strong proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow, with experience developing and deploying AI systems. They should have a deep understanding of core ML concepts, including transformers, generative models, and agent architectures such as MCP or A2A. Experience training large models on GPU clusters and integrating LLMs with external tools via APIs or orchestration frameworks is also required, along with a comprehensive understanding of foundational deep learning, machine learning concepts, and state-of-the-art GenAI models. Hands-on experience training custom LLMs on GPUs and working with Retrieval-Augmented Generation (RAG) systems is necessary, and a proven ability to build end-to-end ML pipelines—from data prep and experimentation to production deployment—in a cloud-native environment is expected.
Responsibilities
The Lead AI/ML Engineer will architect and implement core infrastructure to support agent-based LLM systems, including multi-agent pipelines, RAG, and real-time orchestration. They will train and fine-tune custom models, including LLMs and foundation models, to solve unique Upwork-specific challenges. This role involves leading cross-functional collaboration across engineering, product, and research teams to align technical solutions with business impact, mentoring and guiding engineers and researchers, and translating experimental ideas into reliable, scalable production systems by applying best practices in AI engineering and deployment. Furthermore, the Lead AI/ML Engineer will publish and share innovations where appropriate, contributing to Upwork’s visibility in the broader AI/ML research community.
Skills
Machine Learning
Large Language Models
LLMs
AI Infrastructure
Multi-agent Pipelines
Retrieval-Augmented Generation (RAG)
Model Fine-tuning
AI Research
Distributed Systems
Real-time Orchestration
Cross-functional Collaboration
Mentoring
Upwork
Online platform connecting freelancers and clients
About Upwork
Upwork connects freelancers with clients looking for various services in the gig economy, which focuses on short-term contracts instead of permanent jobs. The platform allows freelancers to create profiles that showcase their skills, while clients can post job listings for specific projects. Freelancers bid on these projects, and clients choose the best candidates based on proposals and reviews. Upwork earns revenue through service fees charged to freelancers based on their earnings, with a tiered structure that rewards long-term client relationships. The platform also offers premium memberships and additional services for enhanced visibility and access to job listings. Upwork provides tools for time tracking, invoicing, and project management, making it easier for both freelancers and clients to manage their work and payments. The goal of Upwork is to facilitate successful project completion by bridging the gap between freelancers and clients.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$143.8MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees