EPAM Systems

Senior AI Engineer

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SeniorZdalnieFull-time

#267858·Dodano 10 miesięcy temu·2

Źródło: EPAM Systems

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Tech Stack / Keywords

AILLM Python Machine Learning

Podsumowanie oferty

We are looking for a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. The role involves 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 machine learning skills are required, along with experience in agentic frameworks and cloud infrastructure.

Wymagania

Strong background in Python, mainly for hooking up AI models, automating tasks, 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 including 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

Obowiązki

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

Benefity

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
Career development programs
Thought leadership, mentoring, soft skills and well-being programs
Certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
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

Elastyczne godziny

Kursy językowe

Budżet konferencyjny

Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Udziały pracownicze

Premie

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

Inne informacje

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

EPAM Systems

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