> Markdown version of [/jobs/ext/2272704-gen-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2272704-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:** Innova Software Services Inc. - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Software Safety, Software Organization, Google Cloud, Cloud Platform System, Chatbots, Large Language Models, Prompt Engineering, Generative AI, Git, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Docker, Microservices - **Published:** August 27, 2026 - **Apply:** https://www.careerjet.com/jobad/usdeab761a7f6fa0898adad9da1c0aae99 ## About the Role * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. * Strong programming experience in Python. * Hands-on experience with Generative AI and Large Language Models (LLMs). * Experience with Prompt Engineering and optimizing prompts for different use cases. * Knowledge of RAG architectures, embeddings, and vector databases. * Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, or similar. * Understanding of machine learning and NLP concepts. * Experience integrating AI/ML models through APIs and microservices. * Knowledge of cloud platforms such as Azure, AWS, or Google Cloud. * Experience with databases, APIs, Git, and software development best practices. Preferred Skills * Experience with OpenAI, Azure OpenAI, Anthropic, or open-source LLMs. * Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate. * Experience with MLOps, Docker, Kubernetes, and CI/CD pipelines. * Knowledge of AI safety, responsible AI, and data privacy principles. * Experience deploying AI solutions in enterprise environments. Key Competencies * Strong analytical and problem-solving skills. * Ability to translate business requirements into AI-driven technical solutions. * Excellent communication and collaboration skills. * Passion for exploring and implementing emerging AI technologies. Ideal Candidate: A hands-on engineer who can take a Generative AI solution from concept to production, with strong expertise in LLMs, Prompt Engineering, RAG, Python, and cloud-based AI services. ## Description * Design, develop, and implement Generative AI solutions using LLMs and foundation models. * Build AI applications such as chatbots, virtual assistants, document intelligence, and automated content-generation solutions. * Develop and optimize prompts and prompt engineering strategies to improve model performance and accuracy. * Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise data sources. * Integrate AI models through APIs and frameworks such as LangChain, LlamaIndex, or similar technologies. * Fine-tune, evaluate, and optimize machine learning and language models where required. * Work closely with data engineers, software developers, product teams, and business stakeholders to deliver AI solutions. * Develop scalable and secure AI applications and deploy them in cloud environments. * Monitor AI model performance, accuracy, reliability, and responsible AI considerations. * Stay updated with the latest advancements in Generative AI, LLMs, and machine learning technologies., Role: AI/ML Software Engineer Location: Plano, TX Duration: 6 Months Contract Employment: W2 (USC/GC Only) Pay Rate: $65-70/hr w2 Interview: 2 rounds virtual; final round fac… + 13 hours ago ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [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 - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Got AI ideas but no money? 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