We are seeking AI Engineers to join our software, system and test engineering group.
You will assist in designing and developing agentic and multi-agent systems at scale using the LangChain and LangGraph frameworks, with a focus on scalable, production-grade applications. Join us to contribute to advanced AI solutions for our clients.
Professional Growth and Technical Upskilling:
We invest heavily in our engineering culture and provide the infrastructure you need to stay at the forefront of artificial intelligence.
- Advanced AI Ecosystems: Gain hands-on experience building, orchestrating, and scaling AI agents using EPAM’s proprietary platforms EliteA and CodeMie, alongside our open-source AI orchestration platform DIAL, with complimentary access to leading LLMs.
- Specialized GenAI Training: Access dedicated internal learning paths focused on advanced prompt engineering, agentic system design, RAG architectures, and AI evaluation frameworks.
- Continuous Learning: Enjoy unlimited access to the LinkedIn Learning library (16,000+ courses) and our internal e-learning portal with specialized technical training.
- Cloud AI Certifications: Advance your expertise with company-sponsored training and certification vouchers for industry-recognized credentials, including Anthropic, AWS, Azure, GCP, and Databricks.
- Engineering Excellence (EngX): Elevate your code quality through our EngX programs, covering advanced Python, MLOps, clean architecture, and ADLC best practices.
- Technical Guilds and Hackathons: Join our active AI communities. Participate in architectural deep-dives, internal TechTalks, and global GenAI hackathons to prototype solutions using cutting-edge models.
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
Responsibilities
- Support the design of agentic AI systems and multi-agent systems at scale
- Assist in developing production-grade AI applications with LangChain and LangGraph frameworks
- Contribute to implementing retrieval-augmented generation (RAG) evaluation methods
- Build and maintain vector databases for AI data storage and retrieval
- Apply data science techniques to improve AI system performance
- Collaborate with cross-functional teams to integrate AI solutions
- Develop scalable and efficient AI system architectures
- Troubleshoot and resolve system issues and bottlenecks
- Acquire knowledge about AI and machine learning advancements
- Document system designs and development processes
- Participate in code reviews and follow best practices
- Use Cloud AI Native tools
- Deploy and monitor AI applications
Requirements
- Interest in designing and developing agentic AI systems and multi-agent systems
- Programming skills in Python with 3+ years of experience
- Familiarity with LangChain and graph frameworks such as LangGraph
- Understanding of cloud platforms
- Background in data science or data engineering methodologies
- Knowledge of algorithms, data structures and machine learning techniques
- Familiarity with RAG evaluation and vector databases
- Willingness to contribute to scalable and production-grade AI solutions
- Problem-solving and analytical skills
- Experience or coursework in software, system or test engineering environments
- Collaboration and communication skills
- B2+ level English proficiency