Applied AI Engineer

Guide the Sales AI strategy within the Sophos framework.

Identify high-ROI AI use cases in Sales.

Lead major team projects for HR/Payroll products.

Provide feedback and propose solutions during product work.

Lead backend development projects.

Collaborate across multiple engineering teams.

Lead the development of HR and Payroll products.

Participate in product work and provide solutions.

Lead major team projects for HR/Payroll products.

Build tools and APIs for products.

Lead team projects for HR/Payroll products.

Mentor and provide code review feedback to engineers.

Build tools and APIs for products.

Collaborate in cross-functional teams.

Lead development of HR and Payroll projects.

Provide technical feedback and solutions.

Lead team projects and initiatives.

Build tools and integrations for products.

Lead major team projects for HR/Payroll products.

Collaborate with cross-functional teams across various domains.

Lead team projects in HR and Payroll.

Develop tools and APIs for products.

Lead team-scoped projects and initiatives.

Contribute to product improvements and engineering.

Lead team projects for HR/Payroll.

Build tools and APIs for remote products.

Lead backend development for HR/Payroll products.

Build scalable tools and APIs.

Lead and manage a small engineering team.

Contribute to product development actively.

Lead major engineering projects.

Participate in product development and provide feedback.

Lead major projects for HR/Payroll products.

Build tools and APIs for Remote products.

Discover operational pain points.

Design and build AI internal tools.

Design scalable learning programs for diverse audiences.

Translate business strategies into educational roadmaps.

Lead a team of automation engineers.

Prototype and deliver AI features for internal tools.

Design AI-powered HR workflows.

Collaborate with AI and data engineers.

Develop and maintain production software.

Collaborate with cross-functional teams for releases.

Lead AI agency for high-impact solutions

Improve engineering practices with AI applications

Design and scale backend APIs and services

Integrate large language model (LLM) capabilities

Develop Large Language Model solutions on customer data

Build, scale, and optimize customer data science workloads

Rapid prototyping and deployment of AI features

Building scalable applications using modern cloud stacks

Design and maintain scalable backend systems

Build and optimize AI-driven analytics frameworks

Develop intelligent multi-agent AI systems

Leverage LLMs and RAG for advanced NLP tasks

Develop intelligent, agentic AI systems using cutting-edge technologies

Collaborate with AI leads, backend engineers, data engineers, and product managers

Design, build, and maintain ML backend services

Integrate ML models via APIs for production reliability

Automate risk workflows using Go and AI tools.

Prototype and turn experiments into production.

Interact with public sector customers effectively

Collaborate to improve product features

Provide on-site IT support and handle day-to-day IT requests in SF office.

Analyze recurring incidents and identify root causes for systemic improvements.

Design a structured and configurable evaluation engine with precision

Combine deterministic checks with LLM-as-judge verdicts

Own and evangelize AI enablement map

Embed with teams for auditing and automation

Partnering with People AI product lead

Shape use cases and run experiments

Define and lead ISV ecosystem strategy

Expand AWS co-sell partnerships with key players

Identify high-leverage marketing workflows.

Build AI-powered agents and automations.

Serve as a senior technical counterpart to AWS leadership.

Shape engagement models and prioritization for AWS projects.

Design and build LLM-powered applications for internal automation.

Develop and maintain AI integration pipelines across various systems.

Design and implement AI-native compliance workflows.

Deploy and configure AI agents across compliance use cases.

Conduct customer meetings to gather use cases.

Translate use cases into technical specifications for AI tools.

Design and build agentic systems.

Architect multi-step workflows across tools.

Design evaluation frameworks for AI output quality.

Improve production prompts through iterative experiments.

Design and deploy AI/ML solutions.

Develop LLM-powered applications.

Develop foundational AI tooling and frameworks.

Facilitate integration of AI features across teams.

Serve as a technical resource for Dragos Platform customers.

Lead deployments both onsite and remotely.

Develop and release test solutions for manufacturing.

Create scripts for functionality verification and analysis.

Oversee the technical roadmap for engineering teams.

Identify manual processes for automation.