Agentic Engineering Lead

Job Overview

About the role

**About teiō:** teiō helps companies own the AI that runs their business. We build AI inside our customers' companies, and they keep all of it: their data, their software and their skills.

**We work in three practices:** **AI enablement:** Hands-on training and tooling so every team uses AI on its own work. **Agentic engineering:** AI agents and software that take real work off people's plates, from intake and underwriting workflows to internal tools. **Data intelligence: **The warehouses, models and semantic layers that give agents trusted data to work from.

We run on what we build. Our own operating system, Ask AI and skills platform run teiō day to day, so the people who build for customers use the same tools themselves. We are a team of 15+ across New York, Lisbon, Dubai and Bangalore, and most of our customers are mid-market companies in North America.

**Role Overview:** As an Agentic Engineering Lead, you own customer projects end to end, you sit with the customer to understand the problem, design the solution, build it with AI agents, ship it to production and stay with it until it delivers results. Most of our customers are in North America, so you will be the person they talk to every week.

This is a builder's role and a client-facing role at once. We are not looking for a manager of large teams. We are looking for a senior engineer who, working with AI agents, gets through in weeks what a traditional team takes quarters to deliver, and who can explain clearly to a business owner what was built and why it matters.

**What you'll do:** **- Lead customer projects end to end**. Run discovery with business and technical stakeholders, turn a fuzzy problem into a clear scope, and deliver it through to production and adoption. **- Design and build agentic solutions**. Agents, workflows and internal tools that take real work off people's plates, built on the customer's data and integrated with the systems they already run. **- Own the architecture.** Make the calls on cloud setup, APIs, data models, security and deployment, write them down, and stand behind them with the customer. **- Build with AI every day.** Use coding agents across the whole lifecycle: design, implementation, testing, review and documentation. When you do something twice, turn it into a reusable skill for the team. **- Be the customer's trusted partner.** Run weekly syncs and demos, keep stakeholders informed, handle hard conversations early, and spot the next problem worth solving. **- Raise the bar inside teiō.** Review code, share what works, mentor engineers and contribute to the platform and skills we run on.

**What you bring:** **Engineering across the full stack**

• 8+ years building and shipping software, with real ownership of systems in production.
• A full understanding of the software lifecycle: infrastructure setup, CI/CD and deployment, cloud architecture on at least one major cloud, security, API design and database architecture.
• Strong experience in at least one modern backend language, ideally two. We don't mind which; we care that you write clean, tested, maintainable code.
• A solid grasp of front-end concepts, practices and architecture. You can build and review a modern web front end, not only the services behind it.
• Sound judgment on data: relational and non-relational stores, data modelling, and when a warehouse or semantic layer is the right answer.

**AI native and AI first:**

• You already build with AI agents every day, and you can tell us concretely how much faster it makes you and where it doesn't help.
• Working knowledge of the common building blocks of AI applications: LLM APIs, retrieval augmented generation (RAG), embeddings and vector databases, tool use and function calling, and agent frameworks.
• You know how to make AI systems reliable in production: evaluation, guardrails, observability, cost and latency.
• You keep up with a field that changes monthly, and you change how you work when something better arrives.

**Communication and ownership:**

• Excellent spoken and written English. You can run a meeting with a North American executive, explain a technical trade-off in plain words and write a crisp update.
• Experience in client-facing work: consulting, solutions engineering, a forward-deployed role, or leading delivery for external stakeholders.
• You take ownership. You make the first call on architecture and scope, invite review, and follow through without being chased.
• You are proactive. If something is repetitive or broken, you fix it or automate it before anyone asks.

**Nice to have:**

• Experience with the Model Context Protocol (MCP) or building tools and skills for coding agents.
• Data engineering experience: dbt, a cloud warehouse, pipelines or semantic layers.
• A track record of teaching others to use AI well, through training, internal talks or writing.
• Prior experience at a startup or a small consulting firm, where you wore several hats.

**How we work:**

• **Work from anywhere**,** at the hours that suit you.** We judge work by the results it delivers, not by where or when it happens. You plan your own day.
• **Available for customers from 11 AM to 11 PM IST.** Our customers are mostly in North America, so we expect everyone to be available for customer calls in this window. Outside of calls, the time is yours to arrange.
• **We run on what we build.** You will use teiō's own platform, Ask AI and skills library every day, and you are encouraged to improve them.
• ** Our values are impact, transparency, togetherness and growth.** We share what is really going on with each other and with customers, and we meet in person when it matters.