Senior AI Agent Engineer - Production SaaS, Multi-Tenant

IFS; Kraków; Hybrid; PLN 320,000 - 520,000; Full time

Benefits offered by this job

Hybrid work model

Global, diverse environment

Impactful AI projects

Job summary

IFS, a billion-dollar revenue company with 7000+ employees on all continents, is seeking a hands-on production engineer to build AI-enabled systems that run with real users. You will work on session memory, retrieval, and the agentic flows that carry out multi-step work against live platforms.

This role requires Go and Python in production backends, multi-tenant SaaS, and experience shipping GenAI solutions with RAG pipelines, orchestration, and security guardrails.

Qualifications

• Experience with S2S integration using n8n, Temporal, MuleSoft, Apache Camel, or Boomi.
• Experience with Go and Python in production.
• Experience building multi-tenant SaaS solutions.
• Experience building AI-native products and GenAI solutions.
• Experience with production-grade GenAI solutions, including RAG pipelines and agent orchestration.
• Experience with AI frameworks and tooling such as Pydantic AI, LangChain, and MCP.
• Experience with MCP development and plan-based agentic software development.
• Experience with DevOps and cloud-native infrastructure, including Docker, Kubernetes, CNCF technologies, and CI/CD pipelines.
• Experience with API gateways and API products, preferably Kong or Tyk.
• Preferably experience optimizing AI services for latency and cost; eager to adopt new technologies.

Responsibilities

• Build the intelligence behind the experience: session and memory model, retrieval across estate, agentic flows, and evaluation harness.
• Build the session and context spine: persistence, resumption, hand-over with reasoning trail, and identity-based context.
• Build retrieval and grounding across structured records and documents, balancing cost and latency.
• Build document intelligence over manuals, drawings, directives and contracts, extracted and citable.
• Build the agentic flow runtime: multi-step work with tools and decision rules for human intervention.
• Handle speech and images as first-class input alongside text for universal accessibility.
• Build the evaluation harness, the gate for autonomy claims.
• Build the language interface over scheduling and optimisation engines, expressing trade-offs in customer terms.
• Build the security layer with resistance to prompt injection, data handling, guardrails, audit, and data residency.

Skills

Go

Python

Multi-tenant SaaS

GenAI products

RAG pipelines

LangChain

MCP

DevOps & cloud-native

Docker

Kubernetes

API gateways

Kong

Tyk

n8n

Temporal

APIs integration

Tools

Pydantic AI

LangChain

MCP

Job description

IFS, a billion-dollar revenue company with 7000+ employees on all continents, is seeking a hands-on production engineer to build AI-enabled systems that run with real users. You will work on session memory, retrieval, and the agentic flows that carry out multi-step work against live platforms.

This role requires Go and Python in production backends, multi-tenant SaaS, and experience shipping GenAI solutions with RAG pipelines, orchestration, and security guardrails.