Junior Python AI Developer (with ADK)

Skip To Main ContentBack to SearchHybrid in United States of America: SunnyvaleLooking for something else?Find a vacancy that works for you. Send us your CV to receive a personalized offer.Find me a jobWe'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# 1060117865Build & Deploy AI Agents: Design, develop, test, and ship agent workflows using Agent Development Kit (ADK) and Python in production environmentsDevelop Integrations: Connect the platform with customer systems, databases, and cloud services using Python and REST APIsTest & Improve Performance: Evaluate agent behavior against real-world scenarios, investigate failures, and iterate on code/configuration to improve reliabilityTroubleshoot Issues: Debug integration, data, configuration, and agent-behavior problems across development and production environmentsCollaborate with Customers & Teams: Participate in technical discussions, document requirements, and translate business needs into clear implementation tasksGrow with Emerging AI Tech: Build hands-on expertise in AI agents, with potential exposure to MCP and RAG pipelinesExperience: 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 integrationsLLM Fundamentals: Understanding of prompts, context management, tool usage, model limitations, and response evaluationCommunication & Ownership: Clear technical communication skills, proactive task management, and attention to documentation and code qualityExperience with Model Context Protocol (MCP) or Retrieval-Augmented Generation (RAG) pipelines, including vector databases and embeddingsExposure to cloud platforms (GCP, AWS, or Azure), Docker, or CI/CD pipelinesPrevious experience in a customer-facing engineering, consulting, or support role