Senior AI Engineer

EPAM Systems; Montenegro; Híbrido; BRL 233 372 - 408 401; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work setup

Global team collaboration

Comprehensive medical package

Employee stock purchase plan

Free English classes

Resumo da oferta

EPAM is seeking a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. You will enable interactions via chat, voice, email, or APIs and connect AI to corporate systems and external models.

You will work in a hybrid setup across Montenegro, with offices in Herceg-Novi and Podgorica, contributing to evaluation frameworks, prompt engineering, and scalable AI architectures using Python, ML tooling, and modern cloud infrastructure.

Qualificações

• 1–2 years hands-on experience with Generative AI and large language models (LLMs).
• Strong Python skills for model integration, orchestration, and automation.
• Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration.
• Backend and frontend architecture experience.
• Knowledge of ML evaluation, tuning, and prompt engineering.

Responsabilidades

• Develop and launch scalable conversational AI systems across chat, voice, email, and APIs.
• Architect microservices and asynchronous systems for AI applications with high availability.
• Use Python to implement orchestration and decision logic managing tools and workflows.
• Fine-tune models and integrate LoRA to compare FT vs RAG approaches.
• Establish prompt engineering libraries and evaluation protocols for prompts.
• Design monitoring frameworks, dashboards, and human-in-the-loop feedback to ensure quality.
• Collaborate with data specialists to design data pipelines for AI agents.
• Define CI/CD pipelines, container standards, and cloud strategies for migrations and cost optimization.

Conhecimentos

Python

Generative AI

LLMs

Cloud platforms

CI/CD

LangChain

Microservices

ML evaluation

Ferramentas

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Descrição da oferta de emprego

We are looking for a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. The role includes enabling interactions via voice, chat, email, or APIs, connecting AI to corporate systems and external models, and implementing evaluation and feedback mechanisms to ensure continuous improvement. Strong Python and Python ML skills are required, along with experience in agentic frameworks and cloud infrastructure.

This position offers hybrid setup with the flexibility to work from any location in Montenegro, whether it's your home or our dynamic offices in Herceg-Novi and Podgorica.

Responsibilities

• Develop and launch scalable conversational AI systems that operate across multiple channels, including chat, voice, email, and APIs
• Architect microservices and asynchronous systems for AI applications, ensuring high availability and performance
• Use Python to implement orchestration and decision logic - the control layer that manages tools, workflows, and system interactions
• Optimize AI models through fine-tuning and LoRA integration, making data-driven decisions between different approaches (FT vs RAG)
• Establish prompt engineering libraries and define evaluation protocols for prompt performance
• Design monitoring and evaluation frameworks, including dashboards, metrics, and human-in-the-loop feedback loops to maintain model quality and trust
• Work with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agents
• Design CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability

Requirements

• Strong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic
• 1-2 years of hands-on experience with Generative AI and large language models (LLMs)
• Practical experience in machine learning engineering: data preparation, working with vector databases in the cloud, and training/optimizing models
• Strong backend and frontend architecture experience
• Deep understanding of ML evaluation, tuning, and prompt engineering
• Experience working with cloud platforms such as AWS, GCP, or Azure, including container orchestration and CI/CD pipelines
• Experience with agentic frameworks (LangChain, LangGraph) and multi-agent system design
• Comfort with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is a plus

Nice to have

• Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
• Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks or Google Agents Space, or Azure AI Foundry
• Experience with observability and monitoring tools and frameworks

We offer

• We connect like-minded people
  • Experience exchange with colleagues from 55+ locations
  • Corporate and social events
  • Enjoyable working environment
  • Personal career development, soft skills and well-being programs
  • Unlimited access to Internal Learning Platform
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Comprehensive medical package (can be extended to family members)
  • Four trust days per year for personal needs
  • Benefits package (hotels, restaurants, stores and services)

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.

If you have any questions, you can reach us at [e-mail].