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EPAM
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Senior AI Solutions Engineer with Python

EPAMPoland, Warsaw
Work model
Hybrid
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
11 tags

Technology context

11

Parsed from the vacancy text; ordered by relevance to this role.

AILLMAWSAzurePythonRAGCloudAutomationAgentic WorkflowsAI Solution EngineeringLangChain

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Role description

We are seeking a highly skilled Senior or Lead AI Engineer with experience in Python , willing to join a Project for one of our Key Clients.

This position offers a hybrid model, with 3 days per week working from the Warsaw office.

Are you passionate about moving beyond AI experimentation and building real-world, production-ready AI applications? We are looking for an AI Solutions Engineer to design and deploy intelligent, agentic workflows. In this role, you won't just work with models - you will build the systems that automate exception handling, data classification, decision-making, and reporting.

Working closely with our operations teams, you will turn complex manual business processes into seamless, automated cognitive workflows, directly reducing manual effort and driving operational efficiency.

Responsibilities

  • Build Agentic Workflows: Design and implement AI-powered agents to handle triage, categorization, and decision support for natural-language exceptions and vendor-submitted issues
  • Automate & Classify: Develop sophisticated natural language matching and classification logic to identify and resolve data quality and reporting anomalies
  • Bridge Business & AI: Collaborate closely with Regulatory Operations (Reg Ops) and business stakeholders to map out current workflows, identify cognitive bottlenecks, and translate them into technical automation
  • Prototype to Production: Take ideas from initial Proof of Concept (PoC) all the way to robust, scalable production-ready LLM applications
  • Shape the Future Roadmap: Support long-term initiatives including rule-text interpretation, sourcing/transformation logic, and automated code-generation

Requirements

  • Hands-on experience developing and deploying AI applications (not just querying APIs or experimenting in notebooks)
  • Strong experience with Python, LangChain, Cloud Technologies and LLM-based application development
  • Proven experience implementing and optimizing RAG (Retrieval-Augmented Generation) solutions
  • Outstanding ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows
  • Ability to support agentic roadmap work from initial classification through action-taking workflows