About the Position

Software Engineer, Public Sector

$180k – $225k

Locations: New York City, Washington DC, San Francisco

Employment Type: Full Time

About the Job

At Scale AI, Public Sector software engineers (SWEs) are pivotal in creating the core product building blocks that forward-deployed teams use to develop agentic capabilities across multiple domains. Your responsibilities will include building systems to ingest and process federal datasets to support real-time decision-making in contested environments. You will develop novel agentic enabling capabilities, including:

Creating multi-layered guardrails around agents
Optimizing data retrieval for agents
Orchestrating fleets of asynchronous agents
Automatically alerting users to deviations in data
Illustrating how an agent reached a decision

As a Software Engineer, you will own the development of a vertical feature or a horizontal capability, from defining requirements with stakeholders to implementation until acceptance.

You will:

Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure.
Build features for agentic systems, including multi-layered guardrails and data retrieval optimization.
Develop data pipelines and machine learning infrastructure to make data sources accessible by agents.
Collaborate with cross-functional teams to execute backend solutions for secure environments.
Participate in customer engagements to understand requirements and deliver technical solutions.
Define requirements with stakeholders and implement features until they are accepted.
Contribute to the platform roadmap and product strategy for the Federal business.

Requirements

Full Stack Development: Proficiency in front-end, back-end development, and infrastructure, including experience with modern web development frameworks, programming languages, and databases.
Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., 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 clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.

We Offer

Competitive salary range of $180k – $225k per year.
Opportunity to work in key locations: New York City, Washington DC, San Francisco.
Collaborative and innovative work environment.
Comprehensive benefits package including health, dental, and vision coverage.
401(k) plan with company match.
Generous paid time off.
Flexible work hours.
Company meals: free lunch and dinner.
Equity benefits.
Parental leave.
Work from home policy.
Commuter benefits.
Regular social activities.

About the Company

Scale AI

Scale AI is an enterprise software company specializing in Machine Learning and Artificial Intelligence. With a valuation of $1B or more, Scale AI has received significant investment from top investors and is a YC-funded startup. The company is rapidly increasing its operations and is dedicated to accelerating the development of AI applications.

Key Highlights:

Employees: 1001-5000
Location: San Francisco
Industry: Enterprise Software
Technologies: Machine Learning, Artificial Intelligence, Developer APIs, Image Recognition, Developer Tools, Business Process Outsourcing

Funding:

Total Amount Raised: $277.6M
Number of Funding Rounds: 5

Founders:

Alexandr Wang, Founder

For more information about Scale AI and its perks, visit Scale AI's website.

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Software Engineer, Public Sector

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