Artificial Intelligence / Machine Learning Engineer

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Engenious

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤝 B2B

🤖 Artificial Intelligence

🔒 Cybersecurity

B2B • Artificial Intelligence • Cybersecurity

Engenious is an IT consulting and services firm that helps organizations modernize and manage their technology landscapes. The company offers cloud solutions, artificial intelligence, cybersecurity, software development, DevOps, data & analytics, QA/testing, and technical documentation. Headquartered in Kraków, Poland with an office in Zug, Switzerland, Engenious focuses on delivering technical projects and consulting services to business clients.

📋 Description

• Develop document-processing pipelines with ML/LLM-based extraction and agentic workflows • Build and extend Python microservices for document ingestion, classification, extraction, validation, and post-processing • Develop autonomous AI agents using tool calling, structured outputs, and advanced reasoning • Prepare evaluation datasets and define ground-truth target values for extracted data • Evaluate extraction results, analyze failures, and improve prompts, schemas, and pipeline logic • Build automated testing and regression frameworks for prompts, models, agents, and extraction workflows • Optimize AI systems for accuracy, latency, throughput, reliability, and cost • Work with asynchronous processing infrastructure using AWS services such as ECS, SQS, SNS, RDS, and S3 • Use AI-assisted development tools such as Claude Code, Cursor, and similar solutions while following engineering, testing, and code-review best practices • Prototype new AI solutions in collaboration with engineering teams

🎯 Requirements

• At least 3 years of AI/ML experience and 6+ years of overall experience • Strong proficiency in Python • Experience building Python microservices and data-processing pipelines • Experience with OCR tools and document-processing platforms • Practical experience with LLM-based extraction, classification, reasoning, and structured outputs • Experience working with LLM providers and model families such as OpenAI, Claude, Gemini, Llama, and Grok, including multimodal models • Strong knowledge of prompt engineering, embeddings, semantic search, tool calling, and agentic workflows • Experience preparing evaluation datasets and defining expected target values • Understanding of evaluation metrics such as accuracy, precision, recall, F1 score, and completeness with AI safety guardrails, privacy controls, and prompt-injection protection • Experience with AWS services, particularly ECS, SQS, SNS, RDS, S3, OpenSearch, and CloudWatch • Experience with Docker, message queues, retry mechanisms, and distributed processing • Experience with data-processing libraries such as Pandas and NumPy • Practical experience with AI-assisted development tools such as Claude Code or Cursor • Prototyping, R&D, or hackathon experience • English proficiency at B2 level or higher.

🏖️ Benefits

• Flexible & remote job • Paid vacation and sick leave • Development opportunities in any IT direction • Fun and friendly team • Personal professional growth • Up to 100% reimbursement of participation in core courses and conferences