AI Automation Engineer / Developer

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.

What you'll be doing

• • 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.

What you bring

• • 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.

Nice to Have

• • Experience with MLOps, Vertex AI Pipelines, or AWS SageMaker.
  • Exposure to financial or document-intensive automation systems.
  • Understanding of data drift detection, retraining strategies, and LLM evaluation metrics.