Mid-Senior AI Fullstack Remote

OPTIVEUM sp. z o.o.•Capon Bridge, WV

3d•PLN 125 - PLN 130•Remote

About The Position

Optiveum is seeking a Mid/Senior AI-Native Full-Stack Engineer for a long-term, engaging project. This role involves working on a live social platform for authentic connection and an emerging multimodal intelligence business for audience understanding. The work is primarily asynchronous, with occasional meetings. The engineer will deliver features across mobile, web, backend, and AI-enabled product surfaces, potentially owning product outcomes, improving architecture, and mentoring a team depending on experience.

Requirements

Solid TypeScript/JavaScript fundamentals and experience delivering production mobile or web applications.
Production depth in TypeScript/Node and ability to read, extend, and troubleshoot Go and Python microservices on GCP.
Working knowledge of APIs, data modeling, asynchronous workflows, testing, source control, and cloud deployment.
Familiarity with production LLM concerns such as context design, structured outputs, grounding, latency, cost, and privacy.
Experience with agentic workflows, structured tool use, MCPs, and evaluation.
Clear written and spoken English, dependability in a remote team, and readiness to be candid about unknowns.

Nice To Haves

Experience with media-heavy consumer products, social/community systems, creator platforms, or moderation is a major plus.
Gemini or Vertex AI experience on GCP is a strong advantage, though equivalent production experience with other model platforms also counts.

Responsibilities

Deliver and own high-value features from problem framing through production across React Native, Next.js, NestJS, TypeScript, Go and Python microservices, and GCP.
Diagnose and improve real product workflows spanning UI, APIs, data, media, background processing, and third-party services.
Strengthen the media lifecycle—including capture, upload, processing, playback, analysis, retrieval, and failure recovery—across mobile and web.
Evolve AI-assisted transcription and audio/video analysis with explicit quality measures, observability, privacy, and cost controls.
Use AI as an active engineering partner throughout discovery, design, implementation, testing, debugging, review, and documentation.
Write maintainable code, focused tests, useful instrumentation, and concise documentation.