> Markdown version of [/jobs/ext/2002189-python-developer-with-llm-gcp](https://www.wearedevelopers.com/jobs/ext/2002189-python-developer-with-llm-gcp). 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). --- # Python Developer with LLM, GCP - **Company:** Sparc Technology Services Inc - **Location:** Irving, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Big Data, BigQuery, Information Engineering, Python (Programming Language), Machine Learning, Data Processing, Google Cloud, Large Language Models, Prompt Engineering, Generative AI, Fastapi, GPT - **Published:** August 9, 2026 - **Apply:** https://www.wayup.com/i-j-Python-Developer-with-LLM-GCP-Sparc-Technology-Services-Inc-311768196966216/ ## About the Role Python Developer - data engineering - GCP - Working Exp with LLMs etc building custom Python applications for large-scale data building pipelines for data processing and deploying in GCP Solid foundation in Machine Learning Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management. Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google Cloud environments (e.g., BigQuery, Cloud Run). Flexible work from home options available. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [16 Ways Developers Can Use ChatGPT-4 and GPT-4o](https://www.wearedevelopers.com/magazine/204-16-ways-developers-can-use-chatgpt-4-and-gpt-4o) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)