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Artificial Intelligence / Machine Learning Engineer
EngeniousAI/ML Engineer developing document-processing pipelines and autonomous AI agents at Engenious. Collaborating with global teams using modern tools and AWS services for data handling.
Tech Stack
Tools & technologiesAWSDockerMicroservicesNumpyPandasPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDocument-Processing PipelinesOCR ToolsLLM Providers (OpenAI, Claude, Gemini, Llama, Grok)Data-Processing Libraries (Pandas, NumPy)DockerEvaluation Metrics (Accuracy, Precision, Recall, F1 Score)Asynchronous ProcessingAgentic WorkflowsPrototyping and R&D