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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - **Company:** NEXORANT LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Software as a Service, Computer Programming, Databases, Continuous Integration, Data Structures, Software Debugging, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Object-Oriented Software Development, Software Engineering, Software Systems, Systems Integration, TypeScript, Software Organization, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Backend, Git, Fastapi, AI Platforms, Kubernetes, Restful APIs, Docker, Microservices - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/febf920b-5a61-45f1-9a45-59c79d0c28e6 ## About the Role We are looking for an AI Software Engineer with 2-4 years of professional experience to design, develop, and deploy AI-powered applications and software solutions. The ideal candidate should have strong software engineering fundamentals along with hands-on experience working with Generative AI, LLMs, machine learning, APIs, and cloud-based applications., * 2-4 years of professional experience in software engineering, AI engineering, or a related role. * Strong programming experience in Python and/or Java. * Hands-on experience building or integrating AI/ML or Generative AI applications. * Experience working with LLMs and AI APIs. * Understanding of REST APIs, microservices, databases, and software development life cycle. * Experience with Git and modern software development practices. * Good understanding of data structures, algorithms, and object-oriented programming. * Strong problem-solving and communication skills., * Experience with OpenAI, Anthropic, Gemini, or other LLM platforms. * Experience with LangChain, LlamaIndex, or similar AI frameworks. * Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS. * Knowledge of RAG, embeddings, prompt engineering, and AI agents. * Experience with Docker and Kubernetes. * Experience with AWS, Azure, or Google Cloud Platform. * Familiarity with CI/CD and DevOps practices. * Experience deploying AI applications to production environments. Technical Skills Programming: Python, Java, JavaScript/TypeScript AI/ML: Generative AI, LLMs, RAG, Prompt Engineering, Embeddings, AI Agents Frameworks: LangChain, LlamaIndex, FastAPI, Spring Boot Databases: PostgreSQL, MySQL, MongoDB, Vector Databases Cloud: AWS, Azure, Google Cloud Platform Tools: Git, Docker, Kubernetes, CI/CD, REST APIs ## Description You will work closely with engineering and product teams to build scalable AI features and integrate intelligent capabilities into production applications., * Design, develop, test, and maintain AI-powered software applications. * Build and integrate LLM and Generative AI solutions into production systems. * Work with APIs from OpenAI, Anthropic, Google, or other AI platforms. * Develop AI applications using Python, Java, JavaScript/TypeScript, or similar languages. * Build and maintain REST APIs and backend services. * Work with RAG (Retrieval-Augmented Generation), embeddings, vector databases, and prompt engineering. * Integrate AI models with existing enterprise applications and databases. * Develop scalable and reliable software following modern engineering practices. * Work with cloud platforms such as AWS, Azure, or Google Cloud. * Debug, test, optimize, and monitor AI applications in production. * Collaborate with product managers, software engineers, and data/ML teams. * Stay current with developments in LLMs, Generative AI, AI agents, and AI development frameworks. ## 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) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Langchain4J - An Introduction for Impatient Developers](https://www.wearedevelopers.com/videos/1001-langchain4j-an-introduction-for-impatient-developers) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? 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