Junior AI Engineer

Siri InfoSolutions Inc

Gaithersburg, MD, United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

1 year minimum

Compensation

$87,100.0 - $157,450.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

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

+12 more

Software Engineering Unstructured Data Extensible Markup Language (XML) Data Processing Chatbots Large Language Models Prompt Engineering Git Enterprise Integration Restful APIs Software Version Control Microservices

Job description

Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).

Requirements

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. Warm Regards