python developer in AI engineering

HireHi; United States; Remote; USD 38,000 - 67,000; Full time

Job summary

EPAM is seeking a senior software engineer to design and implement Python-based AI agents for triage, categorization and decision support. You will build RAG pipelines, natural-language processing, and production-grade AI apps integrated with Python, APIs, and data platforms.

You will collaborate with Regulatory Operations and stakeholders to map workflows, translate business logic into automation, and deploy on cloud platforms.

Qualifications

• At least 6 years of software development experience and strong Python proficiency.
• Hands-on experience developing and deploying production-grade AI applications, using LangChain, and optimizing RAG solutions beyond API queries or notebook experiments.
• Understanding of object-oriented programming, design patterns, Python coding standards, and industry best practices.
• Hands-on experience with SQLAlchemy and FastAPI.
• Proficiency in React and hands-on experience with cloud platforms and tools, including AWS, Terraform, and Docker.
• Ability to translate complex business logic into automated workflows and collaborate with non-technical stakeholders.
• Excellent English communication skills.

Responsibilities

• Design and implement Python-based AI agents for triage, categorization, and decision support for natural-language exceptions and vendor-submitted issues.
• Develop natural-language matching, classification logic, and LLM applications, including RAG pipelines and intelligent automation.
• Collaborate with Regulatory Operations and stakeholders to map workflows and automate processes.
• Turn proof-of-concept ideas into scalable, production-ready LLM applications integrated with Python apps, APIs, and data platforms.
• Support rule-text interpretation, sourcing and transformation logic, and automated code generation.
• Design, implement, test, and launch Python apps using FastAPI, SQLAlchemy, and React with client systems.
• Deploy and operate apps on cloud platforms; lead reviews, engage in Agile planning, and mentor team members.

Skills

Python

6+ years

LangChain

RAG

AI applications

English communication

cross-functional collaboration

problem solving

Tools

LangChain

AWS

Terraform

Docker

SQLAlchemy

FastAPI

React

Job description

Описание

EPAM provides digital transformation services and enterprise software products, open-source solutions, and accelerators.

Задачи

• Design and implement Python-based AI agents for triage, categorization, and decision support for natural-language exceptions and vendor-submitted issues.
• Develop natural-language matching, classification logic, and LLM applications, including RAG pipelines and intelligent automation, to identify and resolve data quality and reporting anomalies.
• Collaborate with Regulatory Operations and business stakeholders to map workflows, identify cognitive bottlenecks, and translate them into technical automation.
• Develop ideas from proof of concept into scalable, production-ready LLM applications integrated with Python applications, APIs, and data platforms.
• Support initiatives involving rule-text interpretation, sourcing and transformation logic, and automated code generation.
• Design, implement, test, and launch Python applications using FastAPI, SQLAlchemy, and React, integrating them with client systems.
• Deploy and operate applications using cloud platforms and tools Clarify requirements with customers, help identify, escalated, and resolve technical issues, participate in code reviews, and drive team collaboration Use AI-assisted development tools responsibly and validate their output Mentor and lead development team members; lead project scoping, roadmap, and architecture discussions; coordinate plans and track tasks; ensure the Agile team can handle stakeholder demand

Требования

• At least 6 years of software development experience and strong Python proficiency
• Hands-on experience developing and deploying production-grade AI applications, using LangChain, and optimizing RAG solutions beyond API queries or notebook experiments
• Understanding of object-oriented programming, design patterns, Python coding standards, and industry best practices
• Hands-on experience with SQLAlchemy and FastAPI
• Proficiency in React and hands-on experience with cloud platforms and tools, including AWS, Terraform, and Docker
• Ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows
• Excellent English communication skills
• Ability to work across technologies and support agentic roadmap work from initial classification through action-taking workflows, rather than being limited to a single language or platform

Условия

The role is remote in Serbia