Senior AI/ML Engineer
- Role
- AI / ML
- Experience
- Senior
- Employment
- Contract
- Company size
- Enterprise
Open to UA only. Set where you work from to check your eligibility.
No BS summary
Senior-level engineer to design and implement generative AI solutions and LLM-based applications. Requires strong experience with prompt engineering and RAG architectures and proficiency in Python. Remote work is supported but applicants must be located in Ukraine.
Core skills
Required skills
Optional skills
We are seeking a Senior AI/ML Engineer who will be responsible for designing, implementing, and optimizing generative AI solutions for applications.
Responsibilities
- Design applications utilizing large language models (LLMs) and generative AI technologies
- Implement prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures
- Build frameworks to evaluate model performance, safety, and alignment
- Create interfaces between generative AI models and production systems
- Develop mechanisms for responsible AI and guardrails for deployment
- Stay updated on advancements in generative AI research and best practices
Requirements
- Background in developing applications with generative AI models
- Expertise in prompt engineering and RAG architecture
- Proficiency in Python, with added value for experience in asynchronous applications
- Knowledge of modern AI/ML frameworks (e.g., LangChain)
- Familiarity with vector databases and embedding models
- Understanding of responsible AI practices and mitigation strategies for hallucinations
- Competency in working with cloud-based AI services (e.g., OpenAI API, Azure AI)
Nice to have
- Background in developing solutions for specific industries such as life sciences, finance, or insurance
- Familiarity with LLM tracing, evaluation datasets, and experiment management
- Understanding of techniques for evaluating RAG systems or other LLM architectures
- Skills in automated prompt optimization tools (e.g., dspy)
- Expertise in creating rapid prototypes
Benefits
With us you can:
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
- Participate in volunteer, charity programs and communities (both technical and interest-based)
We focus on your professional growth:
- You can plan your individual career path together with your manager
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
What we offer:
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children
Kindly note that this role supports remote work, but only from within Ukraine.
Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.
EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.
What you'll do
- Design applications utilizing large language models (LLMs) and generative AI technologies
- Implement prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures
- Build frameworks to evaluate model performance, safety, and alignment
- Create interfaces between generative AI models and production systems
- Develop mechanisms for responsible AI and guardrails for deployment
What they require
- Background in developing applications with generative AI models
- Expertise in prompt engineering and RAG architecture
- Proficiency in Python
- Knowledge of modern AI/ML frameworks (e.g., LangChain)
- Familiarity with vector databases and embedding models
Benefits
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Relocation opportunities may be available for eligible candidates
- Free training and certification in AWS, GCP, or Azure Clouds
- Vacation and sick leave (including a sick leave without a medical certificate)
Our Workforce Experience team helps clients realize digital and IT transformation by identifying and bridging gaps in employee knowledge, behaviors, and mindset. We design, develop, and implement a variety of solutions for online and in-person learning, including videos, articles, podcasts, interactive eLearning, coaching, experiential learning, instructor-led training, and assessments, using the latest insights from the learning sciences. In other words, we go beyond "training" to create learning experiences that really work.