Overview
The Agentic AI Engineer designs and builds autonomous and semi-autonomous AI agents that plan, reason, and take action across tools and systems.
This role pushes the frontier of what AI can do beyond chat — orchestrating multi-step workflows that deliver real business outcomes.
Your Role and Responsibilities
What You’ll Do
Key Responsibilities
- Architect and build multi-agent systems with planning, memory, and tool use.
- Design robust tool/function-calling integrations to external APIs and internal systems.
- Implement orchestration, state management, and error-recovery for long running tasks.
- Build evaluation harnesses to measure agent reliability and safety.
- Optimize agent performance for cost, latency, and accuracy.
Partner with product and delivery teams to identify high-value agent use cases.
REQUIREMENTS
What This Role Requires
Education
- Bachelor’s degree in Computer Science, AI, or a related field (or equivalent experience).
Experience
- 3+ years in software engineering, with experience building AI-driven systems.
- Hands-on work with agent frameworks or complex LLM orchestration.
Technical Skills
- Proficiency in Python and/or TypeScript.
- Experience with agent frameworks (LangGraph, CrewAI, AutoGen, or custom orchestration).
- Strong understanding of tool calling, function schemas, and API integration.
- Familiarity with state machines, queues, and async workflows.
Knowledge of evaluation, tracing, and observability for agents.
Soft Skills
- Systems thinking and strong debugging instincts.
- Comfort with ambiguity and rapid experimentation.
- Clear written and verbal communication.
- Ownership and reliability mindset
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
