> Markdown version of [/jobs/ext/3966587-junior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3966587-junior-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). --- # Junior AI Engineer - **Company:** SFE PARTNERS LLC - **Location:** Edison, NJ, United States - **Experience:** Starter - **Salary:** $85,000 - $95,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Unit Testing, C Sharp (Programming Language), Data Structures, Software Debugging, JSON, Python (Programming Language), Machine Learning, Software Engineering, Unstructured Data, Extensible Markup Language (XML), Data Processing, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Git, Enterprise Integration, Restful APIs, Software Version Control, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerjet.com/jobad/us1d0c9e33ce66accdf42ea0a50b3907d1 ## About the Role Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git). AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots. Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques. RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing. API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats. Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design. Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues. Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs. Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions. Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing. Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.