senior ai engineer remote
Jul 28, 2026 · EPAM Global
What you'll do
- Design, implement, and maintain end-to-end AI applications including chatbots, Q&A platforms, and agent workflows
- Collaborate with clients to understand requirements and recommend LLM-driven solutions
- Develop and manage data pipelines, prompt strategies, and datasets for AI models
- Evaluate and refine AI system performance ensuring accuracy, security, scalability, and compliance
- Conduct research and rapid prototyping to validate AI solutions
- Stay updated on LLM technologies, frameworks, and methodologies to improve AI solutions
Key requirements
- 3+ years' experience
- Proficiency in Python and FastAPI or similar web frameworks
- Experience with AI application lifecycle from design to deployment
- Knowledge of LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, Gemini
- Skills in rapid UI prototyping using Streamlit, Gradio, or similar tools
- Understanding of Retrieval-Augmented Generation (RAG) and agent-based architectures
- Ability to perform performance evaluation and LLM-based evaluation methods
- Strong problem-solving and communication skills
- Fluent English language proficiency
Benefits
- remote and hybrid work opportunities with option to work from office in athens.
- corporate laptop, private health insurance, meal vouchers, public transportation card.
- numerous opportunities for self-development including training courses, mentoring, certification opportunities, and language courses.
About the job
We are seeking a highly skilled Senior AI Engineer to join our team.
In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products.
#LI-YAROSLAVADIAKOVA
Responsibilities
Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions
Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models
Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations
Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes
Requirements
At least 3 years of experience in AI engineering or a related field
Strong proficiency in Python and experience with web frameworks such as FastAPI or similar
Understanding of the AI application development lifecycle, from design to deployment
Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks
Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents
Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures
Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability
Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
Proven track record in delivering ML-based solutions and AI engineering projects
Strong problem-solving skills and attention to detail
Excellent communication, collaboration, and interpersonal skills
Fluent English skills (written and spoken) at a B2+ level or higher
Nice to have
Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms
Familiarity with emerging protocols such as MCP, A2A, ACP, and others
Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM
Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
Experience with observability and monitoring tools and frameworks for AI systems
We offer
For your comfortable work:
Remote and hybrid work opportunities
Option to work from our centrally located office in Athens
Corporate laptop provided
Private health insurance
Meal vouchers / restaurant tickets
My Benefit card (264€/year)
Monthly public transportation card
For your growth:
Global and diverse client portfolio, large-scale projects, and trendy technologies
Diverse multicultural, multi-functional, and multilingual work environment
Opportunity to contribute to internal and open-source products
Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
Possibility to create a Personal Development Plan from the first day in the company
Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
Certification opportunities
Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
Language courses




