T
AI Summary
Design and deploy end-to-end LLM-powered features, including prompt engineering, retrieval systems, and production guardrails. Collaborate with clients to define data and budget constraints while ensuring safe, scalable integrations. Requires 3+ years of applied AI and production software experience with Python/TypeScript.
Key Highlights
End-to-end ownership of LLM-backed product features from prompt design to API/UI implementation
Focus on safety, evaluation, and guardrails for production-grade AI systems
Direct client collaboration for scoping data and budget constraints
Key Responsibilities
Design and ship LLM-backed product features, covering prompt strategy, context design, and API/UI integration
Build and maintain MCP (Model-Centric Platform) servers and tool integrations for safe agent-system interactions
Implement evaluation, tracing, and guardrails to ensure feature reliability in real-world user scenarios
Work closely with clients during discovery to define feasible data and budget constraints
Technical Skills Required
Benefits & Perks
Fully remote work (Romania-based applicants only)
Nice to Have
Experience with local/open-weight models (e.g., llama.cpp, GGUF, vLLM)
Familiarity with vector databases, fine-tuning, or structured-output/evaluation tooling
Background in privacy or document-AI
Job Description
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Careers
AI Engineer
Iași / Remote (Romania)
- Full-time
This role is fully remote — applicants must be located in Romania. The company is based in Iași.
What you'll do
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Design and ship LLM-backed product features — from prompt and context strategy to the API and UI they live behind
- Build MCP servers and tool integrations that let agents act on real systems safely
- Stand up evaluation, tracing, and guardrails so features hold up with real users, not just in a demo
- Work directly with clients during discovery to scope what their data and budget can actually support
- 3+ years shipping production software, with real applied-LLM feature work behind you
- Strong Python and/or TypeScript, and comfort wiring models into web and product surfaces
- Hands-on with RAG, function/tool calling, or agent orchestration in something that shipped
- Fluent enough in English to run discovery and delivery with international clients
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience serving local / open-weight models (llama.cpp, GGUF, vLLM) and the MCP ecosystem
- Vector databases, fine-tuning, or structured-output/eval tooling
- A privacy- or document-AI background
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