5 months ago
Base Salary
$216k - $270k/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, multi-agent systems, evaluation frameworks, and human-in-the-loop workflows.
- Create prompt strategies, libraries, templates, experiments, A/B tests, RAG systems, and fine-tuning pipelines.
- Serve as the primary technical contact for strategic enterprise accounts and provide customer training and knowledge transfer.
- Collaborate with customer data scientists, ML engineers, software developers, and Scale product and engineering teams.
- Debug issues across data pipelines, integrations, model outputs, and the broader technical stack.
- Document architectures and integration patterns, prototype solutions, and identify opportunities for productization.
Requirements
- At least 5 years of software engineering experience with strong fundamentals in data structures, algorithms, and system design.
- 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 in ambiguous, rapidly changing environments.
- Excellent communication skills for explaining complex technical concepts to technical and non-technical audiences.
- Preferred experience building and deploying AI agents or autonomous systems in production, including LLM prompting, embeddings, RAG, and evaluation.
- Preferred experience with vector databases, semantic search, Docker, Kubernetes, CI/CD pipelines, Terraform, Bicep, or other infrastructure-as-code tools.
- Preferred familiarity with enterprise security, compliance, governance, SOC 2, GDPR, and HIPAA.
- Preferred experience in technical consulting, solutions engineering, product engineering, technical enablement, or teaching programs.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, generous PTO, and potentially a commuter stipend.
- Full-time position with listed locations of San Francisco, New York, and Seattle.
- Eligible roles may include equity-based compensation, subject to approval.
Categories
Forward 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.