AI/ML Engineer (Artificial Intelligence / Machine Learning Engineer)

Who we are:

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+ talented world-class engineers with domain experience in Web, Backend, and Test Automation.

Open Role:

We are looking for a passionate and driven Artificial Intelligence / Machine Learning Engineer to join our team.

What will you do?

• 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.

Skills, Experience and Role Expectations:

• 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.

Desirable Skills:

• Experience with Promptfoo, DeepEval, LangTest, Ragas, or similar evaluation tools.
• Publications or contributions to open-source AI/ML projects.

Our benefits:

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