Senior AI Engineer: Generative ML & LLMs for Enterprise

SoftServe; Poland; On-site; PLN 180,000 - 260,000; Full time

Job summary

SoftServe is seeking a Data Scientist / ML Engineer to design, develop, and deliver AI and machine learning solutions for enterprise client engagements, with a focus on Middle East and Central Asia. You will work with Solution Architects and engineers to deploy production-ready AI systems using Generative AI, LLMs, and GPU-accelerated infrastructure.

The role emphasizes building end-to-end ML pipelines, MLOps, and collaboration with data engineers and customers to integrate AI solutions into

Qualifications

• 4+ years of experience in Data Science, Machine Learning, AI Engineering, or related roles.
• Strong hands-on experience designing and delivering AI/ML solutions for enterprise use cases.
• Strong practical knowledge of Generative AI, LLMs, RAG, AI agents, NLP, and modern AI application architectures.
• Hands-on experience with prompt engineering, model evaluation, fine-tuning, and LLM application development.
• Advanced proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or similar technologies.
• Strong understanding of the complete ML lifecycle, including data preparation, model development, evaluation, deployment, monitoring, and optimization.
• Experience with MLOps practices and production ML environments.
• Experience deploying AI workloads in on-premises and/or hybrid environments, with familiarity with Azure, AWS, or Google Cloud.
• Experience with containerized and Kubernetes-based deployments.

Responsibilities

• Design, develop, train, evaluate, and deploy machine learning and AI models for enterprise use cases.
• Build and optimize LLM, RAG, AI agent, NLP, and Generative AI applications.
• Perform data exploration, preprocessing, feature engineering, experimentation, and model evaluation.
• Develop production-ready ML pipelines, inference services, APIs, and AI application components.
• Apply prompt engineering, model optimization, fine-tuning, and evaluation techniques where appropriate.
• Optimize AI workloads for GPU-based infrastructure and enterprise deployment environments.
• Implement and maintain MLOps practices, including model versioning, deployment, monitoring, evaluation, and lifecycle management.
• Work closely with Solution Architects to translate solution designs into production-ready implementations.
• Collaborate with data engineers, software engineers, infrastructure specialists, and customer teams to integrate AI solutions with existing enterprise environments.
• Monitor and troubleshoot AI/ML solutions in production and continuously improve model quality, performance, reliability, and cost efficiency.
• Communicate technical findings, results, limitations, and recommendations to both technical and non-technical stakeholders.
• Contribute to reusable AI components, engineering standards, technical documentation, and best practices.

Skills

Python

PyTorch

TensorFlow

Hugging Face

LLMs

RAG

NLP

Prompt engineering

MLOps

Kubernetes

Cloud platforms

Communication

Travel readiness

Tools

Kubernetes

Azure

AWS

Google Cloud

Job description

SoftServe is seeking a Data Scientist / ML Engineer to design, develop, and deliver AI and machine learning solutions for enterprise client engagements, with a focus on Middle East and Central Asia. You will work with Solution Architects and engineers to deploy production-ready AI systems using Generative AI, LLMs, and GPU-accelerated infrastructure.

The role emphasizes building end-to-end ML pipelines, MLOps, and collaboration with data engineers and customers to integrate AI solutions into