Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure
Build evals that measure safeguard efficacy on both false and true positives, using datasets from customer reports, adversarial testing and production traffic
Work closely with our Security team: turn their adversarial findings into eval cases and fixes, and build mitigations together that hold when detection misses
Select, integrate and fine-tune detection models within a stack shared by our commercial and government environments
Balance quality, latency and cost for controls that run in the request path
A key privacy engineer writing code and shaping the architecture and protections across products, focusing on sensitive data detection, masking, and assessing privacy risks of ML models.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Assess, benchmark and select ML models and techniques that meet privacy requirements
Own the implementation of models from prototype through production
Build and deploy sensitive data detection, masking, redaction and tokenization
Build privacy evaluations for ML models (memorization, training-data extraction, membership inference)
Write and maintain code enforcing customer requirements for data use, access, retention and deletion
Requirements
Nice to have: Differential Privacy
Nice to have: Privacy-enhancing technologies
Nice to have: Privacy engineering for agentic systems
Join an early-stage healthtech company building conversational AI to support patient recruitment for clinical trials. As a founding engineer on the AI team, you will own production agents that help patients learn about and connect with relevant trials, with a strong focus on scale, reliability, and safety.
Compensation
Base salary: $150,000 to $220,000 annually.
Responsibilities
Build and orchestrate AI agents that coordinate patient recruitment across clinical trials
Review production conversations, identify failure scenarios, develop evaluations, and use results to improve the agent harness
Integrate health profile data sources to help agents reach patients at appropriate times and support trial screening
Scale language model experiences across voice, SMS, and email while maintaining consistent, personalized conversations
Evaluate emerging agent tools and research, incorporating relevant capabilities into the software platform
Join a small AI team building coding agents for hedge funds. As the first engineering hire, you will help mature the core product and work directly with customers to turn their research needs into reliable software.
Compensation
Base salary: $165,000 to $210,000 annually. Visa sponsorship is available.
Responsibilities
Build and improve coding agents that create custom data pipelines, scrapers, and dashboards for customers
Manage remote development environments and infrastructure for customer deployments
Work with customers to understand research goals and deliver tailored solutions
Take features from design and scoping through implementation and delivery
Develop agent skills, tool libraries, and scaffolding to expand platform capabilities
Requirements
bachelor's degree in computer science or a STEM field
Own product strategy and roadmap for an AI platform for enterprise contract review and management, taking the platform from early development to broader adoption.
Compensation
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Responsibilities
Own the product strategy and roadmap, setting priorities and explaining what to build and why.
Gather and synthesize customer feedback from legal specialists working directly with customers.
Partner with engineering to scope work and plan delivery in an AI-assisted development environment.
Discuss AI and agent architecture tradeoffs with engineers and rapidly prototype ideas using tools such as Claude Code or Cursor.
Build product practices from the ground up, including prioritization, documentation, launches, and success measurement.
Design and build reinforcement learning environments for complex clinical reasoning and evaluate them to improve clinical decision-support tools.
Compensation
Base salary: $250,000 to $400,000 USD annually.
Responsibilities
Design and build reinforcement learning environments for complex clinical reasoning, including multi-step tasks, tool use, state transitions, and measurable outcomes.
Create and calibrate reward functions, grading rubrics, and LLM judges, and test them for reward hacking and misleading scores.
Own the workflow from task design and data creation through implementation, evaluation, and delivery to model-training teams.
Run post-training and agent-evaluation experiments, then use observed failures to improve the environments.
Collaborate with clinicians and technical leadership to validate model outputs and guide the work.
Requirements
PhD in computer science, machine learning, or a related field
Bachelor's degree or higher in a relevant technical field
Pragmatic builder of products focused on backend development for AI enablement within a company that inspires lifelong readers.
Compensation
This is a full-time salaried role with a compensation starting at $135,000.
Responsibilities
Implement internal tools and services to allow users to gain more productivity through ai-tooling
Architect backend solutions, potentially including data services, MCP servers, and one-off applications to support end-user AI interactions
Work directly with internal stakeholders to understand their problems and processes in order to identify opportunities for acceleration through AI tooling
Train and guide internal teams on how to effectively adopt and use newly created and available AI tools and workflows
Evaluate internal feedback to iteratively refine tools, moving beyond simple no-code/vibe-coded solutions to deliver production grade software where appropriate
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience
Nice to have: Snowflake
Nice to have: deploying applications to AWS with Terraform
Nice to have: data visualization tools such as Metabase
Lead the administration and user enablement of Peraton[x], our enterprise generative AI and agentic analytics platform, ensuring successful platform configuration, governance, and access for all programs.
Compensation
$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Lead all Peraton[x] system administration, including user and program provisioning, role-based access and data-tier management, environment configuration, and platform settings.
Set and enforce administrative standards, policies, and procedures for access requests, onboarding and offboarding, project and workspace management, and knowledge-base (cortex) governance.
Oversee release readiness and change management from the administrator and end-user side.
Run the service desk and tiered user support model: ticket intake, triage, escalation to engineering, and resolution tracking against service-level targets.
Manage AI usage, cost, and license administration: track consumption and spend by program, attribute costs, and enforce usage policies.
The Senior ServiceNow AI Developer is responsible for designing, developing, implementing, and supporting AI-powered solutions on the ServiceNow platform as part of the SIAM/SMO team.
Compensation
Pay rate: $50-$58/hr on W2/C2C
Responsibilities
Design, develop, test, deploy, and support ServiceNow AI solutions supporting ITSM and SIAM.
Work with SMO Global Process Owners, SIAM Leads, and the ServiceNow Platform Owner to translate identified AI opportunities and business requirements into technical solutions.
Develop AI agents and agentic workflows using ServiceNow AI Agent Studio and Now Assist.
Configure and develop agent instructions, tools, triggers, workflows, knowledge sources, integrations, and actions required to support AI use cases.
Develop AI-enabled capabilities using ServiceNow technologies including Flow Designer, IntegrationHub, Virtual Agent, AI Search, JavaScript, APIs, scripting, and platform automation.
Requirements
Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Artificial Intelligence, or a related discipline preferred
Nice to have: ITIL Foundation certification
Nice to have: ServiceNow Certified System Administrator (CSA) certification
Nice to have: ServiceNow Certified Application Developer (CAD) certification
Nice to have: ServiceNow AI, Now Assist, or other applicable ServiceNow AI training or credentials
Backend EngineerNewCollective Goods Holdings, Inc. · Remote, US
Director, Peraton[x] Administration and EnablementNewPeraton · US