Senior Applied AI Engineer

N-iX; Kraków; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

Flexible work format

Education reimbursement

Mentorship program

Tech talks

Corporate events

Team building

Centers of excellence

Job summary

N-iX is seeking a Senior Applied AI Engineer to design, build and ship customer-facing AI features end-to-end for a fast-growing fintech client.

You will own RAG system design (chunking, embedding selection, retrieval, re-ranking) and agentic workflows, ensuring safe production deployment and robust observability. The role requires hands-on experience shipping external LLM-based features and strong data fluency.

Qualifications

• Proven experience shipping external customer-facing LLM-based features to production.
• Hands-on evaluation-pipeline and observability work: drift detection and quality monitoring.
• Strong data fluency to reason about retrieval architecture.

Responsibilities

• Design, build and ship customer-facing AI features end-to-end, including RAG system design and agentic workflows.
• Ship external customer-facing LLM-based features into production with safe deployment practices.
• Perform hands-on evaluation, drift detection and quality monitoring in production pipelines.
• Reason independently about retrieval architecture using data fluency.
• Develop and observe the Context Development Lifecycle for AI agents.
• Share patterns and practices to enable broader adoption across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor.

Skills

Python

RAG system design

Agentic workflows

Production deployment

Evaluation-pipeline

Data fluency

Guardrails & verification

Claude Code & Copilot

Tools

AWS Bedrock

OpenAI APIs

Langfuse

Job description

Our client is a fast-growing European fintech company in the business spend management space. We're looking for a Senior Applied AI Engineer to design, build and ship customer-facing AI features end-to-end.

Responsibilities

• Design, build and ship customer-facing AI features end-to-end, including RAG system design (chunking, embedding selection, retrieval, re-ranking) and agentic workflows.
• Ship external customer-facing LLM-based features into production, with safe production deployment practices.
• Do hands-on evaluation-pipeline and observability work: drift detection, quality monitoring.
• Reason independently about retrieval architecture using strong data fluency.
• Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor.

Requirements

• Python (Python-first).
• RAG system design: chunking, embedding selection, retrieval, re-ranking.
• Agentic workflows; safe production deployment.
• Proven experience shipping external customer-facing LLM-based features to production (not prototypes).
• Hands-on evaluation-pipeline and observability work: drift detection, quality monitoring.
• Data fluency to reason about retrieval architecture independently.
• Agent & harness engineering fluency — designing guardrails, context and verification layers for safe, reliable AI-assisted delivery; concrete evidence of having built/operated this kind of tooling, not just used it.
• Comfortable with the client's current daily tools: Claude Code and GitHub Copilot.

Nice-to-Have

• Specific tooling such as AWS Bedrock, OpenAI APIs, or Langfuse (or comparable eval platforms).

We offer*

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers