5 months ago
Base Salary
$288k - $360k/yr
Responsibilities
- Partner with enterprise customers to understand their infrastructure, data pipelines, and business requirements.
- Design and implement integrations between Scale AI’s platform and customer cloud platforms, data warehouses, and internal APIs.
- Build data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.
- Deploy and configure AI models and agents within customer security and compliance boundaries.
- Develop production-grade AI agents and architect multi-agent systems for customer use cases.
- Build evaluation frameworks, prompt libraries, human-in-the-loop workflows, and feedback mechanisms to improve AI performance.
- Implement RAG systems and fine-tuning pipelines where appropriate.
- Serve as the primary technical contact for strategic enterprise accounts and provide customer training and knowledge transfer.
- Collaborate with customer data scientists, ML engineers, and software developers, as well as Scale product and engineering teams.
- Document technical architectures, integration patterns, and best practices.
- Debug issues across data pipelines, infrastructure, and model outputs; rapidly prototype solutions and identify opportunities for productization.
Requirements
- 12+ years of software engineering experience with strong foundations in data structures, algorithms, and system design.
- Production Python expertise and experience with modern ML/AI frameworks such as LangChain, LlamaIndex, Hugging Face, or the OpenAI API.
- Experience with AWS, GCP, or Azure and modern data infrastructure.
- Ability to navigate ambiguous requirements, solve complex problems, and rapidly iterate toward solutions.
- Excellent communication skills for explaining complex technical concepts to technical and non-technical audiences.
- Deep understanding of LLMs, prompting techniques, embeddings, and RAG architectures is preferred.
- Production experience building and deploying AI agents or autonomous systems is preferred.
- Knowledge of vector databases and semantic search systems is preferred.
- Open-source AI/ML contributions are preferred.
- Experience with Docker, Kubernetes, CI/CD pipelines, Terraform, Bicep, or other infrastructure-as-code tools is preferred.
- Familiarity with enterprise security, compliance, and governance requirements such as SOC 2, GDPR, or HIPAA is preferred.
- Technical consulting, solutions engineering, product engineering, technical enablement, or teaching experience is preferred.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, generous PTO, and potentially a commuter stipend.
- Full-time role located in San Francisco, New York, or Seattle, with the specific location referenced in the posting subtitle.
- Eligible roles may include equity-based compensation.
Categories
AI ApplicationsForward Deployed
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.