AI Software Engineer (Python)

About the Position

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.

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

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

About the Company

Join our team and contribute to the development of advanced AI solutions that make a real impact. We are committed to fostering a culture of continuous learning and professional growth.