Senior AI Engineer

EPAM Systems; Montenegro; Hybrid; BRL 237,000 - 414,000; Full time

Benefits offered by this job

Hybrid work model

Global team

Learning platform access

English classes

Stock purchase plan

Medical package

Trust days

Employee benefits

Job summary

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

The role requires strong Python and ML skills, experience with LangChain/LangGraph, and cloud infrastructure. Join a hybrid team across Herceg‑Novi and Podgorica with flexible locations in Montenegro.

Qualifications

• Strong Python expertise for AI model orchestration and integration.
• 1–2 years hands-on Generative AI/LLMs.
• Experience in ML engineering: data prep, vector DBs, cloud.
• Backend/frontend architecture knowledge.
• ML evaluation, tuning, and prompt engineering.
• Cloud platforms (AWS, GCP, Azure) with container orchestration & CI/CD.
• LangChain/LangGraph and multi-agent systems.
• TensorFlow/PyTorch/Scikit-learn familiarity is a plus.

Responsibilities

• Develop and launch scalable conversational AI across chat, voice, email, and APIs.
• Architect microservices and asynchronous systems for high availability.
• Use Python to orchestrate tools and workflows and control AI interactions.
• Fine-tune models and integrate LoRA for decision logic.
• Establish prompt libraries and evaluation protocols.
• Design monitoring dashboards and human-in-the-loop feedback loops.
• Collaborate with data specialists to build data pipelines for AI agents.
• Design CI/CD pipelines, container standards, and cloud strategies.

Skills

Python

LLMs

ML engineering

Cloud platforms

LangChain

LangGraph

CI/CD

Docker

Kubernetes

Model orchestration

ML evaluation

Tools

Docker

Kubernetes

Job description

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.

Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged - feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at [e-mail].