> Markdown version of [/jobs/ext/1340294-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1340294-ai-ml-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). --- # AI/ML Engineer - **Company:** Radixx Solutions LLC - **Location:** New York, NY, United States - **Salary:** $75,000.0 - $100,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Applications Architecture, Software Applications, Microsoft Azure, Cloud Computing, Software Quality, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Delivery Pipeline, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Git, Containerization, Pyspark, Information Technology, Machine Learning Operations, Restful APIs, GPT, Data Pipelines, Docker, Databricks - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=937091ef92a9caaa ## About the Role * Strong knowledge of Python and SQL. * Experience with Machine Learning and Artificial Intelligence. * Hands-on experience with Large Language Models (LLMs). * Knowledge of NLP and Transformer-based architectures. * Prompt Engineering. * Retrieval-Augmented Generation (RAG). * Model Context Protocol (MCP). * LangChain and LangGraph. * Experience with REST APIs and AI model integration. * Knowledge of Git and version control. Preferred Skills * Experience with Azure or AWS Cloud. * Exposure to Databricks or Snowflake. * Knowledge of PySpark and Apache Airflow. * Familiarity with Docker and containerized deployments. * Understanding of MLOps concepts and deployment pipelines. Qualifications * Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. * Relevant certifications in AI/ML or Cloud technologies are an added advantage. Experience * 1-5 years of experience in AI/ML, Data Engineering, or Generative AI development. * Freshers with exceptional AI/ML project experience may also apply. ## Description RadixxSolutions is looking for a passionate and skilled AI/ML Engineer to design, develop, and deploy AI-powered applications using the latest Generative AI technologies. The ideal candidate should have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python, and modern AI frameworks. You will work closely with cross-functional teams to build scalable AI solutions that solve real-world business problems., * Design, develop, and deploy AI/ML and Generative AI solutions. * Build and optimize Retrieval-Augmented Generation (RAG) pipelines. * Develop applications using Large Language Models (LLMs). * Create effective prompts and optimize prompt engineering techniques. * Work with frameworks such as LangChain and LangGraph. * Build scalable data processing pipelines using Python and SQL. * Collaborate with product, engineering, and data teams to deliver AI-driven solutions. * Evaluate, fine-tune, and improve AI model performance. * Ensure code quality, documentation, and best development practices. ## Related Videos - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [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) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [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) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [Got AI ideas but no money? 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