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Mid LevelFull-timePythonNode.jsAWSGCPKubernetesDockerMicroservicesData ScienceGitAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a highly skilled AI Automation Engineer/Developer to design, build, and deploy intelligent automation systems that enhance operational efficiency and decision-making. You will develop scalable AI-driven solutions leveraging LLMs, OCR, and NLP technologies to process complex datasets, automate workflows, and deliver actionable insights across business functions.
Key Responsibilities
- →Design and implement AI automation pipelines using Python (FastAPI, LangChain, spaCy) or Node.js (LLM API wrappers, task automation frameworks).
- →Build and optimize OCR-based data extraction systems for invoices, receipts, and other unstructured documents, integrating semantic search and rule-based classification workflows.
- →Develop custom AI agents for reconciliation, tagging, and anomaly detection across financial and operational datasets.
- →Fine-tune and orchestrate large language models (LLMs) for document understanding, summarization, and context-aware entity or workflow matching.
- →Deploy scalable inference pipelines on GCP Vertex AI, AWS Lambda, or Dockerized microservices, ensuring reliability and cost efficiency.
- →Integrate AI results into user-facing workflows via interactive dashboards, APIs, or automation tools, enabling seamless user adoption.
- →Monitor and maintain model performance through automated evaluation frameworks, triggering retraining pipelines based on data drift or performance degradation.
- →Collaborate with cross-functional teams (data, DevOps, and product) to ensure AI automation solutions align with business goals and compliance standards.
Requirements
- ✓Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- ✓Proficiency in Python or Node.js, with hands-on experience in FastAPI, LangChain, or spaCy.
- ✓Strong understanding of OCR, NLP, semantic search, and LLM-based automation.
- ✓Experience deploying solutions on AWS, GCP, or containerized (Docker/Kubernetes) environments.
- ✓Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) and prompt orchestration frameworks.
- ✓Strong problem-solving skills and ability to translate business needs into scalable technical solutions.
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