About AI Agent Engineer Role
We are seeking a skilled engineer to design, implement, and maintain complex AI agents that can execute multi-step workflows autonomously.
The ideal candidate will have hands-on experience with agentic frameworks such as LangGraph, OpenAI SDK/Swarm, or Google ADK. They will be responsible for architecting robust workflows, optimizing latency and cost, and ensuring the reliability and debuggability of the agents.
Key Responsibilities:
* Design and Implement Multi-Step AI Agents: Using agentic frameworks, design and implement AI agents that can execute complex, multi-step workflows in production environments.
* Architect Robust Workflows: Architect robust workflows for agents that interact with browser automation, APIs, LLMs, PDFs, and CRMs.
* Optimize Latency, Cost, and Performance: Optimize latency, cost, and performance across the agent lifecycle.
* Work with Product and Engineering Teams: Collaborate with product and engineering teams to integrate agents into our core platform.
* Create Observability and Debugging Tools: Create strong observability and debugging tools to ensure agent performance and accountability.
* Stay Up-to-Date with Agent Research: Stay on the frontier of agent research and apply new findings pragmatically.
You Might Be a Fit If:
* Shipped Agent-Based Systems: You've shipped agent-based systems that go beyond chat UX – e.g., agents that fill forms, move through websites, analyze documents, or trigger downstream workflows.
* Familiarity with Agentic Frameworks: You're fluent in one or more of the agentic frameworks: LangGraph, SmolAgent, OpenAI SDK, Google ADK, CrewAI, etc.
* Backend Engineering Expertise: You are an excellent backend engineer who codes daily and owns systems end to end.
* Reliability, Debuggability, and Determinism: You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
* LLM Experience: You've worked with LLMs via API (OpenAI, Anthropic, Claude, Mistral, or fine-tuned models).
* Balancing LLMs and Deterministic Logic: You understand when to use LLMs vs deterministic logic and how to blend both.
* Leadership and Collaboration: You're deeply organized, low ego, and can lead through action and collaboration.
* User Value Focus: You care about product and user value just as much as the tech stack.
Bonus Points:
* RPA, Selenium, or Automation Experience: Experience with RPA, Selenium, or building automation bots for web workflows.
* Insurance, Fintech, or Compliance Background: Background in insurance, fintech, or other compliance-heavy verticals.
* Contributions to Open-Source Frameworks: Contributions to open-source agentic frameworks or related tooling.
* DevOps and Production Monitoring: Knowledge of DevOps and production monitoring for AI services.
About Us
We are a rapidly growing AI startup building AI agents that replace jobs, not just enhance them. Our mission is to automate marketing, sales, and service workflows with AI Agents that do the job – start to finish. We're a collaborative and innovative team that works hard, moves fast, and doesn't stop until the job is done right.