Jr. Software Engineer - AI & Prompt Engineering (Contract to Perm)

LOCALITY•New York, NY

32d•$40 - $60•Onsite

About The Position

We are seeking an entry-level Computer Science graduate for a contract to perm role, who is excited about building software in an AI augmented world. This role is ideal for someone early in their career who understands core CS fundamentals and is eager to apply prompt engineering and AI assisted development techniques to real production systems.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)
Strong foundation in core computer science concepts, including data structures, algorithms, and basic system design
Proficiency in at least one programming language (e.g., Python, JavaScript, Java, or similar), with the ability to write clean, maintainable code
Familiarity with software development fundamentals, including debugging, testing, and version control (e.g., Git)
Basic understanding of APIs and experience making HTTP requests or integrating external services
Exposure to AI tools, large language models, or prompt engineering concepts, with an interest in applying them to real-world problems
Strong problem-solving skills, with the ability to break down ambiguous problems into structured solutions
Attention to detail, particularly when evaluating outputs for correctness and edge cases

Responsibilities

Design and refine prompts to support software development, data analysis, and automation workflows, with a focus on consistency, reusability, and performance
Test, evaluate, and validate AI-generated outputs (code, text, summaries) for correctness, security, and reliability; identify edge cases and implement safeguards where needed
Assist in building and maintaining small services, scripts, and internal tools that integrate AI models via APIs, ensuring they are scalable and production-ready
Write clean, maintainable, and well-documented code following established coding standards; contribute to unit and integration testing to ensure software quality
Debug and troubleshoot issues across the stack, including AI-generated outputs, application logic, and API integrations
Participate in code reviews by providing and incorporating feedback to improve code quality and team standards
Contribute to system design discussions and help break down tasks into manageable components
Monitor and evaluate the performance of AI-driven features in production; suggest improvements based on observed behavior and metrics
Learn and apply best practices related to AI safety, hallucination detection, and output evaluation, and incorporate them into development workflows
Work with version control systems (e.g., Git) to manage code changes, branches, and collaboration workflows