Junior Python AI Developer (with ADK)

EPAM Systems; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

EPAM Systems seeks a Junior Python AI Developer to build, deploy, and optimize AI agents in production environments. You will collaborate with senior engineers and customers to deliver intelligent automation using ADK and Python in a hybrid role (3 days onsite in Sunnyvale, CA).

You'll contribute to designing agent workflows, integrating systems via REST APIs, and improving performance while growing your expertise in MCP and RAG pipelines and cloud-based deployments.

Qualifications

• Up to 2 years in software engineering or related technical role.
• Solid Python production coding skills (OOP, error handling, logging, testing).
• Production hands-on experience building AI agents using ADK (1+ years).
• Experience integrating systems via REST APIs, JSON, authentication methods.
• Understanding of prompts, context management, tool usage for LLMs.
• Clear technical communication and ownership of tasks.
• Exposure to MCP or RAG pipelines and vector databases is a plus.
• Experience with cloud platforms (GCP, AWS, Azure), Docker, or CI/CD pipelines.

Responsibilities

• Build & Deploy AI Agents: design, develop, test, and ship agent workflows using ADK and Python in production environments.
• Develop Integrations: connect the platform with customer systems, databases, and cloud services using Python and REST APIs.
• Test & Improve Performance: evaluate agent behavior and iterate on code/configuration to improve reliability.
• Troubleshoot Issues: debug integration, data, configuration, and agent-behavior problems across environments.
• Collaborate with Customers & Teams: participate in technical discussions, document requirements, translate business needs into tasks.
• Grow with Emerging AI Tech: build hands-on expertise in AI agents, with exposure to MCP and RAG pipelines.

Skills

Python

ADK

REST APIs

LLM basics

Communication

RAG pipelines

Cloud platforms

Docker

CI/CD

Customer-facing

Tools

ADK

REST APIs

Docker

CI/CD

Vector DB

Job description

We're looking for a motivated Junior Python AI Developer to help build, deploy, and optimize AI agents in production environments. You'll work closely with senior engineers and customers to bring intelligent automation to life using ADK and Python. This is a hybrid role requiring 3 days onsite in Sunnyvale, CA. If you're passionate about AI, love solving technical problems, and want to grow your career at the forefront of agent-based systems — we want to hear from you.

Req# 1060117865

Responsibilities

• Build & Deploy AI Agents: Design, develop, test, and ship agent workflows using Agent Development Kit (ADK) and Python in production environments
• Develop Integrations: Connect the platform with customer systems, databases, and cloud services using Python and REST APIs
• Test & Improve Performance: Evaluate agent behavior against real-world scenarios, investigate failures, and iterate on code/configuration to improve reliability
• Troubleshoot Issues: Debug integration, data, configuration, and agent-behavior problems across development and production environments
• Collaborate with Customers & Teams: Participate in technical discussions, document requirements, and translate business needs into clear implementation tasks
• Grow with Emerging AI Tech: Build hands-on expertise in AI agents, with potential exposure to MCP and RAG pipelines

Requirements

• Experience: Up to 2 years in software engineering, implementation engineering, solutions engineering, or a related technical role (strong internship/project experience considered)
• Python Proficiency: Solid ability to write, debug, test, and maintain production-quality Python code (OOP, error handling, logging, testing)
• ADK Experience: Production hands-on experience building AI agents using Agent Development Kit (ADK) is required (1+ years)
• Integration Skills: Working knowledge of REST APIs, JSON, authentication methods, and third‑party system integrations
• LLM Fundamentals: Understanding of prompts, context management, tool usage, model limitations, and response evaluation
• Communication & Ownership: Clear technical communication skills, proactive task management, and attention to documentation and code quality
• Nice to have Experience with Model Context Protocol (MCP) or Retrieval-Augmented Generation (RAG) pipelines, including vector databases and embeddings
• Exposure to cloud platforms (GCP, AWS, or Azure), Docker, or CI/CD pipelines
• Previous experience in a customer-facing engineering, consulting, or support role