Production AI Engineer - Backend & Orchestration (Remote)

Inviso; Kraków; Remote; PLN 180,000 - 240,000; Full time

Job summary

Inviso partners with a client to hire an experienced Applied AI Engineer focused on production-grade AI capabilities. You will own the design and operation of AI features across an enterprise platform, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost management.

The role emphasizes moving from prototype to monitored production systems, evaluating AI behavior, and collaborating with product, engineering, and security teams to deliver value

Qualifications

• Experience shipping software backed by LLMs, ML models, or agentic workflows to production environments.
• Ability to design or implement agent runtime, orchestration, model routing, tool calling, or AI workflow patterns.
• Strong understanding of RAG, grounding, retrieval quality, prompt design, and evaluation approaches.
• Experience building evaluation harnesses, golden sets, regression checks, or measurable AI performance frameworks.
• Must treat cost, latency, reliability, and safety as engineering constraints.

Responsibilities

• Ship AI capabilities that operate in production, not demos.
• Evaluate AI behavior rigorously and partner with product and engineering teams on decisions about AI implementations.
• Collaborate with backend, platform, product, and security teams to deliver robust AI features.
• Monitor production AI behavior and improve systems based on evidence.
• Communicate and collaborate effectively in client-facing consulting environments.

Skills

LLM-based software design

Agent runtime

RAG systems

Cost & latency optimization

Production AI monitoring

Cross-functional collaboration

Client-facing consulting

Value-driven shipping

Tools

Model routing frameworks

Tool calling

AI security tooling

Job description

Inviso partners with a client to hire an experienced Applied AI Engineer focused on production-grade AI capabilities. You will own the design and operation of AI features across an enterprise platform, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost management.

The role emphasizes moving from prototype to monitored production systems, evaluating AI behavior, and collaborating with product, engineering, and security teams to deliver value