Key Data

Type of Collaboration: B2B Collaboration or CIM

Capacity: Full-time (5 days/week) 

Location: Hybrid in Iași, RO (1 day/week on-site)

Language Requirements: English is a must 

About the Company 

The client is an innovative technological company that specializes in building advanced AI agents designed to automate complex, manual compliance workflows. Their proprietary system combines highly configurable processes with specialized artificial intelligence to handle data collection, source verification, and risk assessment, allowing teams to maintain full control without the operational groundwork. 

The company is headquartered in Copenhagen and holds robust financial backing from top-tier international venture capital firms (including leading European and US tech investors). They are currently expanding their engineering team in Romania and looking for a high-agency AI Engineer. 

The Role in a Nutshell

We are looking for a product-minded engineer who is passionate about practical user outcomes rather than just optimization metrics. In this role, you will build and optimize production-grade AI systems, moving beyond basic APIs to construct resilient architectures, advanced RAG pipelines, and automated evaluation frameworks. You will act as a proactive builder who identifies and resolves workflow bottlenecks autonomously, keeping the product aligned with real-world user needs. 

Key Responsibilities

• AI Architecture & Orchestration: Design and deploy modern LLM stacks utilizing both proprietary models (OpenAI, Anthropic, Gemini) and open-source alternatives (LLaMA, Mistral).

• RAG Pipeline Engineering: Build, fine-tune, and scale production-ready Retrieval-Augmented Generation (RAG) systems, optimizing embeddings, retrieval strategies, and re-ranking mechanisms.

• Model Evaluation & Testing: Standardize and implement comprehensive evaluation frameworks to systematically measure, track, and improve model performance and reliability.

• Scalable Deployment: Deploy containerized AI services and workflows within cloud environments, ensuring high availability, scalability, and cost-efficiency.

• Proactive Optimization: Actively monitor AI workflows to identify performance bottlenecks and engineer solutions before they escalate into formal issues.

 Experience

• Professional Background: 6+ years of professional software development experience with min 1- 2 years of experience in Machine Learning, AI engineering, or advanced Data/Backend roles with a strong focus on modern LLM implementations.

• Tech Stack Mastery: Deep proficiency in TypeScript (the core environment) and/or Python, alongside hands-on experience with orchestration layers like LangChain or similar frameworks.

• Infrastructure & Cloud: Practical experience deploying AI services within AWS, utilizing containerization (Kubernetes) and setting up CI/CD pipelines tailored for LLM operations.

• Product & Engineering Mindset: A strong product-first approach—prioritizing actual problem-solving and user satisfaction over theoretical loss curves—combined with a high-agency, proactive building style.

• Communication & Collaboration: Ability to articulate complex architectural trade-offs, model limitations, or technical bottlenecks clearly to both technical peers and non-technical stakeholders or founders.

Compensation

• Collaboration Structure: B2B contract (SRL / PFA) or CIM on a long-term basis

• Financial Package: 5.000 - 9.000€ Gross (to be invoiced)/ month, tailored to general experience

📩 Send your CV and find out more: camelia@bold-hr.com