Scale AI

2 months ago

Senior Frontier Agents Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior Forward Deployed AI Engineer on Scale AI’s Enterprise team acts as the technical bridge between Scale AI’s capabilities and strategic enterprise customers. You’ll architect custom AI solutions, integrate AI into customer workflows, deploy models in production, and lead multi-agent AI initiatives with a focus on data integration, prompt engineering, and hands-on technical leadership.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements; design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).
•Build robust 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 tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation; architect multi-agent systems that orchestrate between different models, tools, and data sources.
•Implement evaluation frameworks to measure agent performance and iterate toward business objectives; design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.
•Create sophisticated prompt engineering strategies optimized for customer-specific domains and data; build and maintain prompt libraries, templates, and best practices for customer use cases; conduct systematic prompt experimentation and A/B testing; implement RAG systems and fine-tuning pipelines where appropriate.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirementLearning Stipend

Key Requirements

•5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design.
•Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API).
•Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure.
•Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions.
•Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

Experience:5+ yearsEnterprise softwareAIScale ai

Skills:CommunicationProblem-solvingCollaborationCustomer-facingLeadership

Languages:English

Tech Stack:PythonLangChainLlamaIndexHuggingFaceOpenAI APIAWSGCPAzureETLData pipelinesDockerKubernetes

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Scale AI

2 months ago

Senior Frontier Agents Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements; design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).
•Build robust 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 tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation; architect multi-agent systems that orchestrate between different models, tools, and data sources.
•Implement evaluation frameworks to measure agent performance and iterate toward business objectives; design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.
•Create sophisticated prompt engineering strategies optimized for customer-specific domains and data; build and maintain prompt libraries, templates, and best practices for customer use cases; conduct systematic prompt experimentation and A/B testing; implement RAG systems and fine-tuning pipelines where appropriate.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirementLearning Stipend

Key Requirements

•5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design.
•Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API).
•Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure.
•Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions.
•Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

Experience:5+ yearsEnterprise softwareAIScale ai

Skills:CommunicationProblem-solvingCollaborationCustomer-facingLeadership

Languages:English

Tech Stack:PythonLangChainLlamaIndexHuggingFaceOpenAI APIAWSGCPAzureETLData pipelinesDockerKubernetes

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn