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.