Senior AI Engineer: LLM Agents & Production Orchestration

Intetics Inc.; Polska; Sur place; PLN 466 000 - 661 000; Plein temps

Résumé du poste

Intetics Inc. is seeking an AI Developer (LLM / RAG / Agentic AI) to design, build, and maintain LLM-based agents deployed in production for customer-facing and internal use.

You will architect memory, context management, and RAG systems, and integrate with databases, APIs, and orchestration tooling. The ideal candidate has 6+ years in IT as a software/ML/AI engineer, hands-on experience with production-grade LLMs and agent frameworks, and a track record delivering scalable AI-powered solutions

Qualifications

• ,

Responsabilités

• Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal.
• Build MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework.
• Design and implement memory, context management, and RAG architectures for production use.
• Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release.
• Work within architectures that combine databases, APIs, interfaces, agents, and orchestration applications.
• Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry
• Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products

Connaissances

LLM agents

Python development

Machine Learning

Docker

CI/CD pipelines

Agent frameworks

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Strands Agents

OpenAI Agents SDK

RAG architectures

Memory engineering

Vector databases

Embeddings

Outils

Amazon Bedrock

Microsoft Foundry

Docker

APIs

Description du poste

Intetics Inc. is seeking an AI Developer (LLM / RAG / Agentic AI) to design, build, and maintain LLM-based agents deployed in production for customer-facing and internal use.

You will architect memory, context management, and RAG systems, and integrate with databases, APIs, and orchestration tooling. The ideal candidate has 6+ years in IT as a software/ML/AI engineer, hands-on experience with production-grade LLMs and agent frameworks, and a track record delivering scalable AI-powered solutions