Senior AI ML Engineer with OpenAI API, NLP Enrichment Platform

## About the project - This project is centered on leveraging the OpenAI API and related AI services to enrich data through NLP capabilities. - It involves designing and implementing scalable AI ML solutions that bring language models into production environments. - Project nickname: NLP Enrichment Platform. ## Team size - 10-20 ## This is how we work - you focus on a single project at a time - you have influence on the technological solutions applied - you focus on product development - agile ## Team members - backend developer - technical leader - architect - devOps - data scientist - cybersecurity specialist - support - product owner - project manager ## Your responsibilities - Design and develop AI ML solutions using the OpenAI API and other AI services. - Build NLP pipelines for structured data extraction, classification, and semantic enrichment. - Develop and maintain Python based data ingestion, processing, and transformation pipelines. - Integrate language models into scalable production systems and improve their performance and reliability. - Senior level experience in building AI powered services and NLP solutions. - Experience with the OpenAI API. - Experience with structured data extraction, classification, and semantic enrichment. - Proficiency in Python for data ingestion, processing, and transformation. - Experience designing and implementing scalable AI ML solutions. - Experience integrating language models into production data pipelines. - Experience with AI services, NLP, language processing, and data engineering. ## Optional - Hands on experience with AWS AgentCore Gateway A2A enforcement models. - Experience with AWS AgentCore Runtime multi agent invocation patterns. - Experience defining enterprise standards and governance frameworks for agent to agent communication. - Knowledge of LangGraph or CrewAI multi agent orchestration frameworks. - Experience with platform observability, monitoring, and operational analytics. - Understanding of AI platform governance, security controls, and compliance requirements. ## This is how we work on a project - design patterns - active monitoring - documentation - integration tests - performance tests - test automation ## Development opportunities we offer - mentoring - technical knowledge exchange within the company ## DataArt Poland sp. z o.o. - Our client is a UK financial services group operating in a highly regulated environment, currently rebuilding its data and analytics capability as part of a wider platform modernisation programme.