> Markdown version of [/jobs/ext/4030659-genai-developer](https://www.wearedevelopers.com/jobs/ext/4030659-genai-developer). 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). --- # GenAI Developer - **Company:** Tekshapers Inc - **Location:** United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Cloud Computing Security, Distributed Systems, Python (Programming Language), Google Cloud, Feature Engineering, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Agentic-AI, Transformer Architectures, Api Design, Microservices - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/9a12c70f-464b-4714-86c7-fa79d0f65e57 ## About the Role 1. 10+ years of experience in AI/ML, with at least 3+ years focused on Generative AI architectures. 2. Demonstrated hands-on projects with LLMs, fine-tuning, RAG implementation, or agentic workflows. 3. Portfolio of real-world deployments, POCs, or production systems. Technical Expertise * Strong foundation in LLM architecture, transformer models, model fine-tuning, and model evaluation techniques. * Deep, hands-on experience designing RAG, agentic, and LLM-orchestration pipelines. * Proficiency in Python and GenAI frameworks; ability to write, review, and optimize production-grade code. * Solid understanding of computer vision, NLP, and multimodal systems is a plus-but must be secondary to GenAI expertise. Architecture & Cloud * Proven ability to design scalable, secure cloud architectures using AWS/Azure/Google Cloud Platform. * Experience with API design, microservices, event-driven workflows, and distributed systems. * Clear understanding of data ingestion, feature engineering, vector databases, and embeddings lifecycle.