Senior AI Solutions Engineer — AWS, LLMs & Risk Maps

EPAM Systems, Inc.

Turkey

On-site

TRY 5,897,000 - 7,371,000

Full time

5 days ago
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Benefits offered by this job

Continuous upskilling
Private health insurance
English courses

Job summary

EPAM Systems, Inc. is seeking a hands-on Senior AI Solution Engineer in Turkey to develop an AI-powered Risk Map solution.

You will collaborate with the Solution Architect and engineering team to deliver a production-grade AI-enabled risk assessment system, reducing manual effort from ~30 hours to ~8 hours per assessment. The role emphasizes Prompt Engineering, LLM work, and integration into enterprise applications using Claude or similar platforms, with a focus on quality outputs and scalable

Qualifications

  • 3+ years of experience as an AI Engineer or Software Engineer working with AI solutions.
  • Background in LLMs and Generative AI with practical Prompt Engineering experience.
  • Proficiency in working with Claude or similar enterprise LLM platforms.

Responsibilities

  • Build the system according to the architecture and scope defined in the Discovery phase.
  • Improve prompt quality, AI workflows, and overall solution performance.
  • Enhance the accuracy, consistency, and reliability of AI-generated outputs.
  • Implement new AI capabilities following the solution architecture.
  • Support the integration of AI capabilities into the existing platform.
  • Collaborate closely with the AI Architect and Lead Engineer.
  • Participate in testing, validation, and continuous improvement of AI solutions.
  • Troubleshoot AI-related issues and recommend improvements.
  • Document implementation details and technical recommendations.

Skills

LLMs & Generative AI
Prompt Engineering
Python
English (B2+)
Cloud (AWS)

Tools

Claude/Claude-like enterprise LLMs
AI guardrails frameworks

Job description

EPAM Systems, Inc. is seeking a hands-on Senior AI Solution Engineer in Turkey to develop an AI-powered Risk Map solution.

You will collaborate with the Solution Architect and engineering team to deliver a production-grade AI-enabled risk assessment system, reducing manual effort from ~30 hours to ~8 hours per assessment. The role emphasizes Prompt Engineering, LLM work, and integration into enterprise applications using Claude or similar platforms, with a focus on quality outputs and scalable

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