> Markdown version of [/jobs/ext/3938811-software-engineer-gcp-ai](https://www.wearedevelopers.com/jobs/ext/3938811-software-engineer-gcp-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer - GCP, AI

- **Company:** Kelly Services Inc.
- **Location:** Phoenix, AZ, United States
- **Salary:** $103,605.0 - $116,750.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Airflow, Big Data, BigQuery, Cloud Database, Cloud Storage, Information Engineering, Python (Programming Language), Metadata, Software Engineering, Data Streaming, Google Cloud, Retrieval-Augmented Generation, Apache Spark, Agentic-AI, Pyspark, Apache Flink, Apache Kafka, Spark Streaming, Data Management, Data Lakehouse, Graph RAG, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.phoenixjobs.com/job.asp?id=3467479372&tx=HT7266TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
 * GCP - 5 to 6 yrs.
 * AI exposure - 6 months to a year
 * Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
 * 5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
 * 3+ years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
 * Hands-on experience developing data flows using Kafka, Flink, and Spark streaming, * 5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
 * 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer
 * Hands-on experience developing data flows using Kafka, Flink, and Spark streaming

## Description

* Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.
 * Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.
 * Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
 * Collaborate with client personnel in Software Engineering.
 * Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
 * Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
 * Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
 * Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities