Senior AI Software Engineer (Python)

EPAM Systems; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Vacation leave

Sick leave

Medical insurance

Family coverage

Training & certs

LinkedIn Learning

Hackathons

E-kids program

Tech talks

Job summary

EPAM Systems Inc. is seeking a Senior AI Software Engineer to architect and build agentic and multi-agent AI systems at scale, using LangChain and LangGraph frameworks.

You will deliver production-grade AI applications that scale for diverse clients and contribute to the evolution of EPAM’s AI platforms EliteA, CodeMie, and DIAL. You will collaborate with cross-functional teams, apply retrieval-augmented generation, manage vector databases, and implement scalable data pipelines.

Qualifications

• 5+ years of Python development experience.
• Experience with agentic/multi-agent architectures is a plus.
• Familiarity with LangChain and LangGraph frameworks and production-grade AI systems.

Responsibilities

• Design and implement agentic AI systems at scale.
• Build production-grade AI applications using LangChain and LangGraph.
• Develop and maintain vector databases for AI storage and retrieval.
• Apply retrieval-augmented generation (RAG) evaluation methods.
• Collaborate with cross-functional teams to deploy scalable AI solutions.

Skills

Python

LangChain

LangGraph

RAG

Vector databases

Cloud platforms

Data science basics

English proficiency

Job description

Our software, systems and test engineering group is looking to add a Senior AI Software Engineer to the team.You'll take on an important part in architecting and building agentic and multi-agent systems at scale through the LangChain and LangGraph frameworks, concentrating on production-grade applications that can scale effectively. You'll help deliver cutting-edge AI solutions to our client base.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 offerVacation and sick leave (including 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 ratesCompany support during significant life events (childbirth or adoption, marriage, etc.)Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic trainingE-kids program — a free programming language training program for EPAMers’ childrenKindly note that this role supports remote work, but only from within Ukraine.ResponsibilitiesSupport the design of agentic AI systems and multi-agent systems at scaleAssist in developing production-grade AI applications with LangChain and LangGraph frameworksContribute to implementing retrieval-augmented generation (RAG) evaluation methodsBuild and maintain vector databases for AI data storage and retrievalApply data science techniques to improve AI system performanceCollaborate with cross-functional teams to integrate AI solutionsDevelop scalable and efficient AI system architecturesTroubleshoot and resolve system issues and bottlenecksAcquire knowledge about AI and machine learning advancementsDocument system designs and development processesParticipate in code reviews and follow best practicesUse Cloud AI Native toolsDeploy and monitor AI applicationsRequirementsInterest in designing and developing agentic AI systems and multi-agent systemsProgramming skills in Python with 5+ years of experienceFamiliarity with LangChain and graph frameworks such as LangGraphUnderstanding of cloud platformsBackground in data science or data engineering methodologiesKnowledge of algorithms, data structures and machine learning techniquesFamiliarity with RAG evaluation and vector databasesWillingness to contribute to scalable and production-grade AI solutionsProblem-solving and analytical skillsExperience or coursework in software, system or test engineering environmentsCollaboration and communication skillsB2+ level English proficiencyKindly 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.