Base Salary
$180k - $225k/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 AI agents and multi-agent systems for customer support, data analysis, content generation, and workflow automation.
- Implement agent evaluation frameworks, human-in-the-loop workflows, and feedback mechanisms.
- Create prompt strategies, prompt libraries, templates, experimentation processes, A/B tests, RAG systems, and fine-tuning pipelines.
- Act as the primary technical contact for strategic enterprise accounts and provide customer training and knowledge transfer.
- Collaborate with customer and Scale AI engineering teams to solve technical issues, prototype solutions, and translate customer needs into product improvements.
- Document architectures and integration patterns and identify opportunities for productization.
Requirements
- At least four years of software engineering experience with strong data structures, algorithms, and system design fundamentals.
- Production Python expertise and experience with modern ML/AI frameworks such as LangChain, LlamaIndex, HuggingFace, or the OpenAI API.
- Experience with AWS, GCP, or Azure and modern data infrastructure.
- Strong problem-solving skills and the ability to navigate ambiguous requirements and rapidly iterate.
- Excellent communication skills for explaining complex technical concepts to technical and non-technical audiences.
- Preferred experience includes building and deploying AI agents, understanding LLMs, prompting, embeddings, RAG, vector databases, and semantic search.
- Preferred infrastructure experience includes Docker, Kubernetes, CI/CD pipelines, Terraform, Bicep, or other infrastructure-as-code tools.
- Preferred qualifications include technical consulting, solutions engineering, product engineering, technical enablement, or teaching experience, plus familiarity with enterprise security, compliance, and governance requirements.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity eligibility for eligible roles.
- Full-time position with a stated base salary range for San Francisco, New York, and Seattle.
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.