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What you will do
- Work directly with a customer’s HR, Finance, Procurement and IT teams to map their processes and decide where an AI agent fits, and where it does not.
- Implement, configure and integrate agents inside the customer’s environment: Microsoft 365, ServiceNow and the systems already in place.
- Own the rollout end to end: pilot, measure what the agents deliver, fix what does not work, and hand over a running setup.
- Feed what you learn back to the platform team as concrete requirements, bugs and reusable components.
- Explain technical trade-offs to non-technical stakeholders and keep the customer confident throughout.
What we expect
- Strong engineering background in at least one of: backend and integrations, LLM and agent tooling, or enterprise systems such as Microsoft 365 and ServiceNow.
- Comfortable shipping in a customer’s environment rather than behind a backlog, and taking decisions without waiting for a ticket.
- Clear written and spoken English; ability to run a workshop and a demo.
- Willingness to travel to customer sites when a deployment needs it.
Nice to have
- Experience with identity, access management or IT governance in large organisations.
- Prior consulting, solutions engineering or forward-deployed experience.
- Kubernetes, CI/CD and observability basics.
What we offer
- A small team with direct access to the founders, the platform engineers and the customer.
- Offices in Vilnius (K16 office center, Kauno g. 16 - 305) and Tbilisi (Terminal co-working, Chavchavadze Ave. 37m); remote work within the team is common.
- Real ownership of deployments that decide whether an early-stage product succeeds.
How to apply
Send a short note and your CV or LinkedIn profile through our contact form. Tell us about one system you integrated with and what went wrong.