Senior GenAI Engineer - Shared AI Infra, Remote

N-iX; Kraków; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Career growth

Professional development tools

Job summary

N-iX in Kraków is seeking a Senior AI Platform Engineer to design, build and operate shared GenAI infrastructure that product teams rely on. You will implement LLM routing, vector search, RAG, MCP gateway, and AI observability tools, driving reliability and performance across squads.

Join a role that blends distributed systems, AI security and real-world production work with Claude Code/GitHub Copilot, AWS/GCP platforms, and a fast-growing fintech client environment.

Qualifications

• Must have strong programming in Kotlin or Python.
• Experience designing and operating GenAI infra: LLM routing, vector search, RAG, MCP gateway.
• Solid distributed-systems fundamentals: async workflows, idempotency, failure design.
• Hands-on production experience with LLM APIs.
• AI-security mindset: prompt injection defenses, PII-in-logs handling.

Responsibilities

• Design, build and operate shared GenAI infrastructure: LLM routing, vector search and RAG infrastructure, MCP gateway, and AI observability/evaluation tooling.
• Apply strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Work hands-on with LLM APIs in production.
• Apply an AI-security mindset: prompt injection defenses, PII-in-logs handling, credential handling.
• Apply Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe AI context.
• Multiply squad output by sharing patterns and practices beyond your team.
• Embed into a client squad as an individual contributor.

Skills

Kotlin

Python

Distributed systems

LLM APIs

AI security

Agent harness engineering

GH Copilot usage

Tools

Claude Code

GitHub Copilot

AWS

GCP

Job description

N-iX in Kraków is seeking a Senior AI Platform Engineer to design, build and operate shared GenAI infrastructure that product teams rely on. You will implement LLM routing, vector search, RAG, MCP gateway, and AI observability tools, driving reliability and performance across squads.

Join a role that blends distributed systems, AI security and real-world production work with Claude Code/GitHub Copilot, AWS/GCP platforms, and a fast-growing fintech client environment.