• Report directly to our VP of Agentic AI • Shape the core intelligence and behavior of the agent — how it interprets intent, plans, assists, and recovers from failure — so that it reliably helps users build working Unqork applications. • Help scale the backend that powers the agent in production, contributing to a service that stays fast, observable, and resilient as usage grows. • Drive how we measure and raise agent quality over time, turning real-world usage into a feedback loop that makes the product steadily more capable and trustworthy.

• Help build next-generation AI-powered product experiences. • Build AI-driven product features that integrate LLMs (like GPT, Claude, or Gemini) via APIs. • Prototype quickly and iterate fast, turning rough concepts into working interfaces and tools. • Develop front-end experiences in React that make complex AI outputs intuitive and delightful. • Collaborate with backend engineers to design APIs and data pipelines that support AI interactions. • Work across the stack when needed — from front-end interfaces to backend service integration in Python. • Experiment with new LLM capabilities, libraries, and prompt engineering approaches. • Contribute to internal tools for data cleaning, model evaluation, and content generation workflows.

• Own a product capability end to end, from architectural decisions through production outcomes, cutting through every layer: entry points, orchestration, intelligence, tools, data, and observability • Your work directly shapes how Augeo's clients engage tens of millions of users • Build and ship mission-critical AI agents that drive revenue growth across finance, healthcare, telecom, and commerce • Define how AI agents are built at Augeo • Drive the Agent Development Life Cycle (ADLC) from initial pilot through production iteration • Build the shared platform: agent orchestration, agentic workflows, ML models, and data infrastructure • Work across Augeo with engineers, product leads, and end users to understand needs, close feedback loops, and ensure the platform compounds with every interaction • Shape the team and participate in hiring

• Provide strategic leadership and direction to 2 to 3 small, senior-caliber engineering teams • Guide teams in understanding client needs, setting project goals, and ensuring successful implementation • Manage 2–3 high-performing implementation teams of senior engineers • Support the company’s rapid growth as we double our client base • Drive delivery against the product roadmap • Champion collaborations with TA and existing external sourcing vendors • Refine onboarding methodologies • Engage with organizational leaders to co-design and champion career progression frameworks • Mentor an Engineering Talent Manager • Dive deeper into analytics and connect the dots between talent metrics and broader business objectives • Champion an AI-first engineering culture • Facilitate the creation and management of data and information repositories • Foster an environment of proactive domain-specific knowledge sharing among team members • Pioneer refinements in delivery processes • Advocate for and pursue expertise in advanced talent management strategies • Maintain regular and reliable attendance