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Scale AI — San Francisco
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains.
Responsibilities
include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments.
Requirements
with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
. Lead customer engagements to translate mission needs into technical
Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings.
, AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. , Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows.
Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers.
. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
Compensation
packages at Scale for eligible roles include base salary, equity, and
, subject to Board of Director approval.
Benefits
. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience,
Qualifications
, interview performance, and relevant education or training.