Senior AI Software Engineer (Python)

EPAM Systems; United States; Remote; USD 160,000 - 210,000; Full time

Benefits offered by this job

Vacation and sick leave

Medical insurance options

Family medical insurance

Life events support

Mental health discounts

E-kids programming for EPAMers' kids

Job summary

EPAM Systems is seeking a Senior AI Software Engineer to join our software, systems and test engineering group. You will design and develop agentic and multi-agent AI systems at scale, focusing on production-grade applications using LangChain and LangGraph.

You will contribute to RAG evaluation methods and manage vector databases. Collaboration across teams will be essential to deliver scalable AI solutions.

Qualifications

• Interest in designing and developing agentic AI systems and multi-agent systems.
• 5+ years of Python programming experience.
• Familiarity with LangChain and LangGraph frameworks.
• 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.
• Strong problem-solving and analytical skills.
• Experience or coursework in software, system or test engineering environments.
• Excellent collaboration and communication skills.
• B2+ level English proficiency.

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 and deploy AI applications.

Skills

Python

Agentic AI systems

Data science

Data engineering

Algorithms

Data structures

ML techniques

RAG evaluation

Vector databases

Production-grade AI

Problem solving

Software engineering

Collaboration

Communication

English proficiency

Education

Data science

Tools

LangChain

LangGraph

Cloud platforms

Job description

Senior AI Software Engineer

We are seeking a Senior AI Software Engineer to join our software, system and test engineering group. You will play a key role 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 5+ 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