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# AI Software Engineer

- **Company:** NEXORANT LLC
- **Location:** United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Clean Code Principles, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Unit Testing, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Structures, Software Debugging, Django Web Framework, Github, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Natural Language Processing, NoSQL, Object-Oriented Software Development, Performance Tuning, OpenAI, Tensorflow, Search Technologies, Software Engineering, SQL Databases, Pinecone, Data Storage Management, Google Cloud, Chatbots, Pytorch, LangChain, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Hallucination Detection, Model Validation, Llamaindex, Generative AI, Backend, Agentic-AI, Git, Fastapi, Pgvector, Scikit Learn, Integration Tests, Kubernetes, FAISS, Claude, Google Gemini, Restful APIs, Automation Anywhere, Docker, ChromaDB, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.dice.com/job-detail/13bb6b46-847b-4fa6-aba2-af56f0889ceb

## About the Role

We are seeking a motivated AI Software Engineer with 1-3 years of experience in software development and Artificial Intelligence to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong Python programming skills, experience with REST APIs, and knowledge of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)., * 1-3 years of experience in software development, AI engineering, or backend development.

 * Strong programming experience in Python.
 * Understanding of OOP, Data Structures, and Algorithms.
 * Experience with FastAPI, Flask, Django, and REST API development.
 * Knowledge of Generative AI, LLMs, NLP, and Machine Learning concepts.
 * Hands-on experience with OpenAI or other LLM APIs.
 * Understanding of prompt engineering, embeddings, and RAG.
 * Familiarity with LangChain, LangGraph, or LlamaIndex.
 * Knowledge of SQL databases such as PostgreSQL or MySQL.
 * Experience with Git, GitHub, Docker, and CI/CD.
 * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform., * Experience with AI agents and multi-step AI workflows.
 * Familiarity with vector databases and semantic search.
 * Knowledge of PyTorch, TensorFlow, or Scikit-learn.
 * Experience with Kubernetes and microservices.
 * Understanding of model evaluation, hallucination reduction, and responsible AI.
 * Experience deploying AI applications in production.

## Description

The candidate will be responsible for developing intelligent applications, integrating LLM APIs, building AI-powered chatbots and automation solutions, and implementing scalable backend services., * Design, develop, test, and maintain AI-powered software applications.

 * Build and integrate Generative AI solutions using OpenAI, Anthropic Claude, and Google Gemini APIs.
 * Develop LLM-based applications using prompt engineering and RAG architecture.
 * Build backend services and REST APIs using Python, FastAPI, Flask, or Django.
 * Implement AI agents and workflows using LangChain, LangGraph, and LlamaIndex.
 * Work with vector databases such as Pinecone, FAISS, Chroma, and PostgreSQL/pgvector.
 * Develop chatbots, intelligent assistants, and document-processing applications.
 * Integrate machine learning models and third-party APIs into applications.
 * Work with SQL and NoSQL databases for data storage and retrieval.
 * Deploy and maintain applications using AWS, Azure, or Google Cloud.
 * Write clean, reusable, scalable, and maintainable code.
 * Perform debugging, unit testing, integration testing, and performance optimization.
 * Collaborate with cross-functional teams in an Agile development environment.