Artificial Intelligence / Machine Learning Engineer

Job Description About the company: Engenious is a US-based consulting agency with a global presence. Although Engenious’ main area of expertise is mobile development, it is a home for more than 40 plus talented world-class engineers with domain experience in Web, Backend, and Test Automation. Open role: We are seeking an experienced AI/ML Engineer to join our dynamic team. Key Responsibilities - 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. Nice to Have - Experience with Promptfoo, DeepEval, LangTest, Ragas, or similar evaluation tools. - Publications or contributions to open-source AI/ML projects. Our 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 Send us your CV and take a new step in your professional career!