Description
At EPAM NEORIS, we believe true change stems from talent.
Today, as part of EPAM Systems, we expand our global reach and capabilities while preserving what matters most: a culture where every individual can grow, contribute, and take center stage.
We are not merely filling positions.
We seek talent eager to surpass themselves, continuously learn, and leave a mark on high-impact projects.
Backed by more than 60\.000 professionals across 55+ countries and a robust Nearshore model, we connect global capabilities with local trust to deliver real impact, sustainable growth, and high-value outcomes for our clients.
**Strategic banking sector project \| 100% remote**
**We are looking for an AI Full Stack Engineer – Document Intelligence**
We seek a technical profile with experience in developing and industrializing AI solutions for document processing—capable of bridging data science, software engineering, and operations to build scalable, production-ready AI applications.
This role will be part of a specialized team focused on Generative AI and Agentic AI, developing advanced capabilities for document extraction, classification, analysis, and exploitation within an enterprise banking environment.
### **Key responsibilities:**
* Design, develop, and maintain AI applications focused on document processing and document intelligence.
* Implement solutions based on NLP, OCR, embeddings, text classification, semantic similarity, and information extraction.
* Develop and maintain APIs associated with AI and Machine Learning capabilities.
* Deploy, monitor, and maintain production applications in Kubernetes environments.
* Participate in building and evolving CI/CD pipelines.
* Apply best practices in testing, code quality, and security.
* Collaborate closely with Data Scientists, Product Owners, CTOs, and engineering teams.
* Contribute to the industrialization and scalability of Generative AI and Agentic AI solutions.
### **✅ Requirements:**
**Mandatory:**
* Approximately 4 years of experience developing and maintaining production applications with AI components.
* Solid experience in Python and SQL.
* Experience deploying applications on Kubernetes.
* Development of APIs for AI and Machine Learning services.
* Knowledge of Git and CI/CD processes.
* Experience with quality, testing, and security tools such as Pytest, Sonar, Fortify, or similar.
* Practical knowledge of NLP: tokenization, embeddings, text classification, and semantic similarity.
* Experience with Generative AI, LLMOps, and agent-based architectures.
* Experience with frameworks such as LangGraph, LangChain, CrewAI, MCP, or similar.
* Experience in supervised and unsupervised learning applied to real-world use cases.
* Practical experience in OCR and document processing.
**Highly desirable:**
* Experience designing and implementing ETL processes using Python and Spark.
* Experience with Airflow, Control\-M, or other orchestration tools.
* Experience with AWS (especially Step Functions) and/or Azure Functions.
* Knowledge of Infrastructure as Code (Terraform).
* Experience with MLflow or Kubeflow.
* Experience with Databricks or Cloudera.
* Knowledge of Kafka or streaming technologies.
* Experience with Kibana, Dynatrace, or observability tools.
* Knowledge of ElasticSearch, MongoDB, PostgreSQL, Starburst, or S3\.
* Experience with RAG solutions and Generative AI–based chatbots.
* Knowledge of JavaScript, TypeScript, or C\+\+.
* Experience with mathematical optimization and solvers such as Gurobi, CPLEX, CBC, or Pyomo.
* Knowledge of BI tools such as Power BI.
### **We offer:**
* Permanent contract with competitive salary.
* 100% remote work mode.
* Personalized career path and continuous training.
* Participation in innovative Generative AI and Agentic AI projects.
* International environment and collaboration with global teams.
* Flexible working hours and focus on work-life balance.
* Social benefits tailored to your needs.
TAG de reclutador (LI\-CF1\)