Staff Engineer

About Intelo.ai

We are building the Operating System for Collaborative Intelligence in Retail.

While others are trying to replace humans with "Black Box" AI, Intelo is building a "Glass Box" a collaborative merchandising platform where 18 specialized AI Agents work alongside retail teams to solve complex planning, pricing, and inventory problems. We dont just automate tasks; we enable Agentic Workflows that allow planners to move from data operators to strategic directors.

We are a fast-growing, venture-backed company moving at breakneck speed. We are looking for engineers who are "Customer Love Obsessed" and ready to "Dare to Fail" as we redefine how billion-dollar retailers operate.

The Role:

We are looking for two Staff Engineers to serve as the technical anchors in our engineer team.

This is not a people management role. You will not be approving vacation days or managing HR issues. You will be a Player-Coach : a high-level individual contributor who sets the technical standard, writes the most complex code, and mentors a group of talented engineers.

You will own the "How" : How we architect multi-agent systems, how we automate our own coding workflows, and how we scale our platform to handle enterprise-grade complexity.

What You Will Do

1. Build the Agentic Future

• Design and build sophisticated Multi-Agent Systems using frameworks and custom orchestrators.
• Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocols (MCP) that allow our AI to securely access client data (Azure Data Lake, SAP, Oracle) and "think" before it acts.
• User machine learning to build sophisticated model for demand prediction, clustering etc
• Ensure our "Human-in-the-Loop" architecture remains transparent, explainable, and trustworthy for enterprise users.

2. Drive "Code Automation" & The Golden Path

• We believe in engineers who don't need to be managed because the system manages the quality.
• You will build the "Golden Path" : the internal tools, CI/CD pipelines, and AI-assisted coding workflows (Cursor/Copilot contexts) that allow your teams to ship safely and autonomously.
• You will review the PRs and set the bar for code quality, ensuring we never ship "spaghetti code" to hit a deadline.

3. Mentor & Elevate

• You will be the technical lead for key agents.
• Your job is to unblock your team. When a Senior Engineer is stuck on a race condition, you sit with them and solve it.
• You will partner with the Principal Engineer to ensure technical feasibility meets business velocity.

What We Are Looking For

• You are a Builder first: You still love writing code. You are uncomfortable if you go a week without committing to the repo.
• System Design Expert: You have experience designing distributed systems, event-driven architectures, or high-scale data pipelines.
• AI/LLM Pragmatism: You have hands-on experience (or deep curiosity) with LLM orchestration, RAG pipelines, or Agentic frameworks. You know the difference between a cool demo and a production-grade agent.
• Force Multiplier: You have a track record of making the engineers around you better through code reviews, design docs, and mentorship.
• "Keep It Simple" Mindset: You fight against over-engineering. You know that the best code is the code you don't have to write.

Our Tech Stack

• Core: Python (Heavy usage for Agents/Data), TypeScript/React (Frontend), Node.js/Go (Services).
• AI/Data: Azure OpenAI, LangChain/Semantic Kernel, Vector Databases (Pinecone/Weaviate), Azure Data Lake.
• Infrastructure: Kubernetes, Terraform, GitHub Actions (Heavy automation).

Why Join Now?

• Impact: You will be one of the top two technical leaders in the company, reporting directly to the executive leadership.
• Autonomy: We don't believe in micromanagement. We define the Goal , and you define the Solution .
• Culture: We live by "Live Intelo" transparency, open communication, and no ego. You will work with a leadership team that values technical excellence as much as sales revenue.

How to Apply

Send your GitHub/Portfolio and a brief note on the hardest "Agentic" or "Automation" problem youve solved recently.