> Markdown version of [/jobs/ext/3309747-gen-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3309747-gen-ai-engineer). 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). --- # Gen AI Engineer - **Company:** Lares IT Solutions Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Management of Software Versions, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Cloudformation, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, Terraform, Automation Anywhere, Docker, Microservices - **Published:** September 22, 2026 - **Apply:** https://www.dice.com/job-detail/5da9b60a-142c-41d2-b72f-4741cff5ad08 ## About the Role * 10+ years of software engineering, machine learning, or AI development experience. * 5+ years of hands-on experience with AWS Bedrock. * 5+ years of hands-on experience with Google Vertex AI. * Strong experience designing enterprise-scale AI and ML architectures. * Deep understanding of Large Language Models (LLMs), Foundation Models, and Generative AI. * Strong programming experience in Python. * Experience building Retrieval-Augmented Generation (RAG) applications. * Experience with AI orchestration frameworks such as LangChain or LlamaIndex. * Strong knowledge of prompt engineering, AI agents, embeddings, and vector databases. * Experience with cloud platforms including AWS and Google Cloud Platform (Google Cloud Platform). * Experience implementing MLOps pipelines, model deployment, monitoring, and governance. * Strong understanding of REST APIs, microservices, Docker, and Kubernetes., * Experience with multi-agent AI systems and autonomous AI workflows. * Experience with vector databases such as Pinecone, FAISS, Weaviate, or OpenSearch. * Experience with ML frameworks including TensorFlow or PyTorch. * Knowledge of Responsible AI, AI governance, security, and compliance. * Experience with CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and Kubernetes. * AWS Certified Machine Learning Specialty, AWS Solutions Architect, Google Professional Machine Learning Engineer, or equivalent cloud certifications are highly preferred. Preferred Skills * AWS Bedrock * Google Vertex AI * Generative AI * Large Language Models (LLMs) * RAG (Retrieval-Augmented Generation) * AI Agents * LangChain * LlamaIndex * Python * Prompt Engineering * Vector Databases * MLOps * Docker * Kubernetes * AWS * Google Cloud Platform (Google Cloud Platform) ## Description We are seeking an experienced Gen AI Engineer in Artificial Intelligence, Computer Science, Machine Learning, Data Science, or a related discipline to lead the design and implementation of next-generation Generative AI solutions. The ideal candidate will have extensive experience architecting enterprise AI platforms using AWS Bedrock and Google Vertex AI, with a proven track record of building scalable, production-grade AI applications powered by Large Language Models (LLMs). This role requires a strong technical leader who can collaborate with cross-functional teams to define AI strategy, architect cloud-native AI solutions, and drive innovation using the latest Generative AI technologies., * Design and architect enterprise-grade Generative AI solutions using AWS Bedrock and Google Vertex AI. * Develop AI-powered applications leveraging foundation models, LLMs, and AI agents. * Build scalable Retrieval-Augmented Generation (RAG) architectures using vector databases. * Lead AI platform strategy, architecture reviews, and technology roadmap initiatives. * Collaborate with engineering, data science, and business teams to translate business requirements into AI solutions. * Evaluate and integrate foundation models from Anthropic, Amazon Nova, Meta Llama, Google Gemini, and other leading providers. * Develop secure, scalable, and highly available AI architectures following enterprise best practices. * Build AI workflows using LangChain, LlamaIndex, and prompt engineering techniques. * Design and implement MLOps pipelines for model deployment, monitoring, versioning, and governance. * Optimize AI workloads for performance, scalability, reliability, and cost. * Mentor engineering teams and establish AI architecture standards and best practices. * Stay current with emerging AI technologies and recommend innovative solutions to improve business outcomes. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Exploring LLMs across clouds](https://www.wearedevelopers.com/videos/1457-exploring-llms-across-clouds) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)