Agentic Engineer
1 week ago
We're looking for an
Agentic Engineer
to design, build, and scale the
multi-agent workflows
that power Nūl's AI decision engine.
You'll work at the intersection of
AI orchestration, data pipelines, and system automation
— connecting forecasting, inventory, marketing, and trend agents into a seamless decision OS.
You'll build systems that think, act, and collaborate autonomously — not just models that predict.
What You'll Do
- Design Agentic Workflows:
Architect multi-agent systems that coordinate forecasting, replenishment, marketing, and production decisions. - Implement agent protocols:
Develop and optimise
Model Context Protocol (MCP)
or
Multi-Agent Coordination Protocol (MACP)
based messaging between Nūl's agents. - Orchestrate tool use:
Enable agents to autonomously call external APIs (Shopify, NetSuite, Google Trends, weather data, etc.) and internal data pipelines. - Develop reasoning & action loops:
Build the logic that allows agents to reason about context, plan actions, and execute tool calls with feedback loops. - Integrate LLMs + structured data:
Blend large language models with Nūl's structured inventory and sales data for contextual decision-making. - Monitor and debug agent behaviour:
Build dashboards for agent logs, reasoning traces, and performance metrics. - Collaborate with product & data teams:
Work closely with domain experts to translate business logic into agent workflows and reinforcement signals.
You'll Thrive If You Have
- 3–6 years of experience in
AI engineering, backend systems, or workflow automation - Strong foundation in Python
(FastAPI, LangChain, LlamaIndex, etc.) or
TypeScript
(Node-based orchestration) - Experience with
LLM tool orchestration
,
function calling
, or
agentic frameworks
(LangGraph, CrewAI, OpenDevin, etc.) - Understanding of
event-driven architectures
and
state machines - Familiarity with API integrations
(Shopify, ERP, analytics, or data sources like weather/trends/social signals) - Experience designing
context passing
,
task routing
, and
feedback mechanisms
between autonomous agents - Curiosity about fashion, retail, and how AI can drive
real-world operational decisions - Bonus: experience with reinforcement learning
,
RAG pipelines
, or
multi-agent simulations
Why Join Us
- Work on one of the world's first
Agentic Operating Systems for fashion - Build systems that make autonomous business decisions
, not just predictions - Collaborate directly with founders, brand leaders, and investors shaping the next era of fashion-tech
- Fully remote-friendly, async-first culture
- Competitive salary + equity
-
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