AI Engineer at RSB Automotive Consulting

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Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Applied Machine Learning, AI Agents, Agentic Systems, Retrieval-Augmented Generation, RAG, LLMOps, MLOps, LangChain, LangGraph, Semantic Kernel, Azure OpenAI, Google Vertex AI, Amazon Bedrock, Enterprise Integration, Regulatory Analysis

Industry

Motor Vehicle Manufacturing

Description

AI Engineer (Applied AI & Agentic Systems) Location: Poland (remote/hybrid options) Start: ASAP Contract duration: until 30 June 2026 For one of our clients, we are looking for an AI Engineer to support the development of an advanced AI solution designed to analyse regulatory changes and translate them into actionable insights. This role combines applied machine learning, agent-based architectures, and enterprise integrations to support high-impact decision-making processes. Role Overview You will work on building a prototype AI system that automates the analysis of legislative updates and evaluates their impact on internal regulations. The solution processes legal texts, identifies new obligations, compares them with internal documentation, and generates structured insights to support compliance and legal teams. This system aims to reduce regulatory risk, highlight gaps, and significantly shorten the time required to assess legal changes. Your Responsibilities Design and develop AI-driven solutions for analysing complex regulatory content Build and orchestrate AI agents capable of reasoning, planning, and autonomous task execution Implement retrieval-augmented generation (RAG) pipelines and knowledge grounding Integrate AI solutions with enterprise data sources and internal systems Deploy and monitor AI solutions in production environments using MLOps/LLMOps practices Evaluate LLM and agent performance and ensure reliability and scalability Transform AI outputs into structured insights that deliver business value Requirements Several years of hands-on experience in applied ML or AI engineering Strong Python programming skills Experience with AI platforms such as Azure OpenAI, Google Vertex AI, Amazon Bedrock, or similar Practical experience building AI agents (tool use, reasoning workflows, planning loops, autonomous execution) Familiarity with orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar Experience implementing RAG pipelines and enterprise integrations Knowledge of deploying AI systems to production and working with cloud ML ecosystems (Azure, AWS, GCP) Experience handling complex, high-volume, multi-source data Strong communication skills and ability to translate technical outputs into business value Professional proficiency in English Nice to have: Experience with scikit-learn, pandas, PyTorch, or TensorFlow Understanding of deep learning and classical ML techniques Why Join? Opportunity to build impactful AI solutions in a regulated, high-stakes environment Work on cutting-edge agentic AI and enterprise AI integration Collaborate with multidisciplinary teams delivering strategic value Influence compliance efficiency and risk reduction through AI innovation

Responsibilities

The role involves designing and developing AI-driven solutions to automate the analysis of legislative updates and evaluate their impact on internal regulations. Responsibilities include building and orchestrating AI agents, implementing RAG pipelines, and integrating these solutions with enterprise data sources.