Senior AI Engineer

Technologies we use

Expected

• Python
• AWS
• Google Cloud Platform
• Microsoft Azure
• LangChain
• LangGraph

Optional

• TensorFlow
• PyTorch
• Scikit-learn

About the project

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.

Your 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

Our 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

Optional

• Comfort with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is a plus

What we offer

We gather like-minded people:

• Top tech minds driving innovation in AI, cloud and digital platform modernization

• Supportive team and agile, startup-like culture

• Hybrid by design mode and opportunity to work remotely within Poland

• Chance to work abroad for up to 60 days annually

• Business-driven relocation opportunities

We provide growth opportunities:

• Career development programs

• Thought leadership, mentoring, soft skills and well-being programs

• Certification (Anthropic, Gemini, GCP, Azure, AWS)

• English classes

We cover it all:

• Stable pay

• Participation in the Employee Stock Purchase Plan with a 15% discount

• Benefits package (health insurance, multisport, shopping vouchers)

• Referral bonuses up to $2,000

• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more

• Corporate, social and well-being events

Please, note:

• Benefits listed above are available to employees only

• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually

• We will reach out to selected candidates exclusively

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• DevOps

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• mentoring
• soft skills training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company

Benefits

• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• retirement pension plan
• no dress code
• video games at work
• coffee / tea
• parking space for employees
• leisure zone
• employee referral program
• charity initiatives

Recruitment stages

• Recruiter Interview (30 min)
• Technical Interview (90 min)
• Manager Interview (60 min)
• Meeting with the Project Team or Client (60 min, optional)
• Welcome Aboard!

EPAM Systems (Poland) sp. z o.o.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.