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!