Artificial Intelligence Engineer

4+years

Strong hands-on Python development with production-grade coding practices

Experience building and maintaining APIs using python

Ability to write scalable async code using asyncio / async I/O patterns

Strong focus on type safety using typing and Pydantic (or equivalent)

Ability to read, understand, and refactor complex Python codebases

Hands-on exposure to AWS AI/ML services such as Amazon Bedrock, SageMaker, or AWS AI Builder tools

Experience with Amazon Textract or similar document AI services

Deep understanding of LLMs (context limits, latency, cost, hallucinations, evaluation)

Experience creating agents and agentic workflows (tool-calling, orchestration, multi-step flows)

Strong experience designing document extraction systems (PDFs and other unstructured formats → structured output)

Understanding of PDF extraction approaches and limitations (scanned vs digital, tables, layouts, OCR constraints)

Strong ability to discuss and justify trade-offs (accuracy vs latency, cost vs capability, OCR vs LLM, etc.)

Strong debugging and performance optimization skills across Python and ML/LLM stacks

Familiarity with logging, monitoring, and troubleshooting production issues in service-based systems on AWS