AI Systems Engineer (Agentic Engineer) $$$$
Lasker.ai is developing an intelligent AI assistant for Amazon sellers — helping them manage products, reduce account risks, and make smarter business decisions.Powered by official data and advanced AI analysis, our assistant delivers clear guidance, personalized recommendations, and visual insights to improve listings, pricing, and overall performance on Amazon.
We are looking for a Founding Agentic Engineer to build the "brain" of our company. Your goal is to design, deploy, and manage an ecosystem of autonomous agents that handle everything from code generation and PR reviews to automated market research and lead qualification.
What You’ll Do
You will be responsible for the end-to-end orchestration of AI agents across three core domains:
Engineering & DevOps: Build autonomous "coding partners" that don't just suggest snippets, but handle bug triaging, automated documentation, and self-healing CI/CD pipelines.
Product & Design: Create workflows where agents can synthesize user feedback into PRDs or generate initial UI mockups based on feature specs.
Growth & GTM: Automate the "top of funnel" by deploying agents that perform deep-dive competitor analysis, personalized cold outreach, and real-time social sentiment monitoring.
Technical Requirements
Agentic Orchestration: Deep experience with frameworks like LangGraph, CrewAI, AutoGPT, or PydanticAI. You know how to manage state, memory, and "loop" logic in LLM calls.
Infrastructure & Tooling: Proficiency in Python/TypeScript and experience with Vector Databases (Pinecone, Weaviate) for RAG-based agent memory.
The "Human-in-the-Loop" (HITL) Design: Knowledge of how to build robust UI/UX for monitoring agents so humans can intervene before an agent spends $500 on API calls or emails a hallucinated discount to a lead.
Evaluation & Observability: Experience with tools like LangSmith or Arize Phoenix to track agent performance, latency, and cost-efficiency.
Who You Are
The "Lazy" Genius: You hate repetitive tasks. If you have to do something twice, your first instinct is to write a prompt and a script to never do it again.
Systems Thinker: You understand that an agent is only as good as the tools (APIs, databases, browser access) it is given.
Pragmatic Optimizer: You know when to use a simple script vs. a complex multi-agent system. You care about reliability over hype.
✨ Join us at Lasker.ai — and help build automation that thinks.