Senior Python AI Automation Engineer (RAG & LangChain)

EPAM Systems; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems is seeking a Senior Python AI Solution Engineer to design and deploy intelligent, agentic AI systems that automate complex business workflows in the United States.

You will tackle hands-on AI application development using Python, LangChain, and cloud tech, build robust RAG-based solutions, and translate business needs into automated, scalable workflows while collaborating with non-technical stakeholders.

Qualifications

• Hands-on experience developing and deploying AI applications.
• Strong experience with Python, LangChain, cloud technologies and LLM-based apps.
• Proven experience implementing and optimizing Retrieval-Augmented Generation (RAG) solutions.
• Ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows.
• Ability to support agentic roadmap work from initial classification to action-taking workflows.

Responsibilities

• Hands-on experience developing and deploying AI applications (not just querying APIs or experimenting in notebooks).
• Strong experience with Python, LangChain, Cloud Technologies and LLM-based application development.
• Proven experience implementing and optimizing RAG (Retrieval-Augmented Generation) solutions.
• Outstanding ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows.
• Ability to support agentic roadmap work from initial classification through action-taking workflows.

Skills

Python

LangChain

Cloud Technologies

LLM-based development

RAG

Stakeholder collaboration

Workflow automation

Roadmap support

Job description

EPAM Systems is seeking a Senior Python AI Solution Engineer to design and deploy intelligent, agentic AI systems that automate complex business workflows in the United States.

You will tackle hands-on AI application development using Python, LangChain, and cloud tech, build robust RAG-based solutions, and translate business needs into automated, scalable workflows while collaborating with non-technical stakeholders.