Full-Stack Engineer (Agentic Development)

About the Role

Our client runs one of the leading online video platforms, powering live streaming, presentations, conferences, events, and training. Its browser-based capture and video pipeline supports thousands of simultaneous viewers per event and streams millions of minutes of video each year. We’re hiring a full-stack engineer who builds with agents to ship features end-to-end across the client’s live video platform (React, Java, Python, AWS) and help shape how our unified team runs an agentic SDLC – defining what agents own, what engineers own, and how work moves between them.

What you'll do

Ship product features end to end: frontend, backend, data, tests, and deployment.

Run agentic workflows (Claude Code, Cursor, Codex, or similar) across planning, implementation, testing, review, and documentation, and own the quality of the output.

Build the harness around agents: specs, context, evals, guardrails, CI checks.

Find SDLC steps agents should take over, prove it out, and roll it into how the team works.

Build GenAI features into the product where they create user value.

Coach teammates on agentic practices, backed by results.

What we're looking for

4+ years building production software with real full-stack range. You own a feature from UI to database to deploy.

Production experience with React on the frontend and Java or Python on the backend.

Hands-on AWS in production: Fargate, Lambda, API Gateway, AppSync, SQS, SNS, EventBridge, Aurora, S3, CloudFront, Route 53, VPC. You design and ship on these services, not just deploy to them.

Daily, hands-on agentic development today. You delegate real work to agents and know where they break.

A concrete, detailed view of where the SDLC is heading: step by step, which jobs agents own, which jobs people own, and why.

Fast, critical validation of agent output: reading diffs, writing tests that catch what agents miss, knowing when to throw work away.

Practical LLM knowledge: context management, prompting, tool use, RAG, evals.

Clear written and verbal communication; Upper-Intermediate English or higher.

Nice to have

Shipped GenAI features (RAG, agents, embeddings) in production.

GenAI applied to CI/CD or engineering automation.

Live video capture, encoding, or streaming pipeline experience.

Some Azure exposure.

What we offer

A flexible, multinational Agile team.

A product used by organizations worldwide.

Training and learning opportunities.

Modern office in Lviv city center, with hybrid remote/on-site flexibility.