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 Boxa collaborative merchandising platform where 18 specialized AI Agents work alongside retail teams to solve complex planning, pricing, and inventory problems. We don't 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 Intelotransparency, 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 you've solved recently.
