Artificial Intelligence / Machine Learning Engineer
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AI Summary
Develop document-processing pipelines and autonomous AI agents using LLMs and agentic workflows. Build and optimize Python microservices for document ingestion, classification, and extraction while ensuring system reliability and cost-efficiency.
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!
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