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AI ENGINEER New

Indeed

Company

Job typeFull-time
Workplace typeRemote
Experience level3 to 5 years
Education levelNo degree limit

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\)

Source: indeed
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David Muñoz

Indeed · HR

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David Muñoz

Indeed · HR

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