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# Software Engineer

- **Company:** NEXORANT LLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, Automation of Tests, Microsoft Azure, Code Review, Computer Programming, Databases, Continuous Integration, Data Structures, Software Debugging, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Object-Oriented Software Development, OpenAI, Standard Sql, Search Technologies, Software Deployment, Software Engineering, Software Systems, Google Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Spring-boot, Software Troubleshooting, Llamaindex, Generative AI, Backend, Agentic-AI, Git, Fastapi, AI Platforms, Solid Principles, Restful APIs, Software Version Control, Data Pipelines, Docker, Programming Languages
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/2066891b-258c-4de3-ae58-cc96edfadb0e

## About the Role

We are seeking a motivated Software Engineer with 1-3 years of professional experience to join our engineering team. The ideal candidate will have a strong foundation in software development, programming, and application design, along with hands-on experience or familiarity with Artificial Intelligence (AI) and Generative AI technologies., * 1-3 years of professional experience in Software Engineering, Software Development, or a related technical field.

 * Proficiency in Python, Java, or another modern programming language.
 * Understanding of data structures, algorithms, object-oriented programming, and software design principles.
 * Experience developing software applications, backend services, or REST APIs.
 * Familiarity with Artificial Intelligence, Machine Learning, or Generative AI concepts.
 * Understanding of LLMs, prompt engineering, and AI API integration.
 * Knowledge of SQL, databases, and version control systems such as Git.
 * Strong analytical, problem-solving, and debugging skills.
 * Ability to collaborate effectively in a fast-paced engineering environment.

Preferred Qualifications

 * Experience with OpenAI APIs, Anthropic APIs, or other LLM platforms.
 * Familiarity with LangChain, LangGraph, or LlamaIndex.
 * Knowledge of RAG pipelines, vector databases, embeddings, and semantic search.
 * Experience with FastAPI, Flask, Spring Boot, or similar backend frameworks.
 * Exposure to AI agents, intelligent automation, or AI-powered workflow development.
 * Familiarity with AWS, Microsoft Azure, or Google Cloud Platform.
 * Knowledge of Docker, CI/CD pipelines, automated testing, and application deployment.
 * Experience with PostgreSQL, MySQL, MongoDB, or vector database technologies.

## Description

In this role, you will contribute to building scalable software applications, integrating AI-powered capabilities, developing backend services, and implementing innovative technical solutions. You will collaborate with engineers and cross-functional teams to deliver reliable, high-quality software that addresses real-world business needs., * Design, develop, test, and maintain scalable software applications.

 * Build and integrate AI-powered features using Large Language Models (LLMs), OpenAI APIs, and other AI services.
 * Develop backend services, REST APIs, and application components using Python, Java, or similar programming languages.
 * Implement AI application workflows involving prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).
 * Integrate AI models and third-party APIs into existing software systems.
 * Write clean, reusable, maintainable, and well-tested code.
 * Work with databases, data processing pipelines, and vector search technologies.
 * Evaluate AI-generated outputs and improve application accuracy, reliability, and performance.
 * Troubleshoot software issues, debug applications, and optimise system performance.
 * Participate in code reviews, technical discussions, and Agile development activities.
 * Collaborate with product managers, software engineers, and data teams to translate business requirements into technical solutions.
 * Support application deployment, monitoring, testing, and continuous improvement.