AI Engineer

Talenthopllc — United States · Posted ~2 hours ago

Junior Full-time Remote

Skills

Artificial intelligence Machine learning AI systems development Python AI Machine Learning

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

An AI engineering role focused on building and maintaining machine learning systems, pipelines, and production solutions while collaborating with cross-functional teams.

Highlights

Fully remote opportunity to develop practical AI solutions, collaborate with experienced engineers, and contribute to production-ready systems.

Description

This is a Fully Remote Job About Our Client: This organization operates in the AI and machine learning industry, focusing on designing AI systems that effectively integrate into real-world workflows. It addresses the challenge of balancing engineering precision with creative application to deliver AI solutions that serve practical enterprise operations. The company emphasizes rapid deployment of production-ready AI within 30 to 45 days, aiming to create measurable impact for clients and their users. About the Opportunity: The AI ENGINEER role involves developing and delivering AI/ML systems as part of a cross-functional team. This position is suited for an early-career engineer ready to take ownership of tasks and contribute to building and maintaining AI models, pipelines, and associated systems. The role is essential for ensuring the reliability and quality of AI solutions in production, supporting ongoing development, and collaborating with senior engineers to enhance capabilities. Responsibilities: Build and deliver features for AI/ML and LLM-powered systems under senior guidanceImplement and maintain components of AI/ML pipelines, including data ingestion and model deploymentContribute to LLM functionalities such as prompts, evaluations, retrieval, and tool integrationsPerform data preprocessing, feature engineering, and basic evaluation to ensure quality inputs and validate model performanceCollaborate with distributed, cross-functional teams to advance projectsDocument experiments, results, and model decisions clearly for team useParticipate in code reviews and team discussions, offering and receiving feedbackOwn assigned tasks with consistency and thoroughnessShare insights from experiments to foster continuous improvementMaintain intellectual curiosity to explore new approaches and grow technical skills Requirements: Minimum of 3 years professional software engineering experience with AI/ML systems and generative AI developmentProficient in software engineering with Python or similar languagesBasic knowledge of cloud platforms (AWS, GCP, Azure) and interest in advancing AWS and AWS GenAI skillsExperience contributing to agentic AI systems alongside senior engineersFamiliarity with AI frameworks, orchestration tools, and evaluation/observability for LLM applicationsAwareness of AI safety, responsible AI principles, prompt injection risks, and PII handlingExposure to RAG pipelines, including chunking strategies, embedding models, and vector databasesExperience with API integration, both internal and third-partyUnderstanding of LLM cost factors like token economics and cachingWorking knowledge of Docker and some exposure to KubernetesRegular use of AI-forward coding tools such as Claude Code and Cursor Pay Range and Compensation Package: Salary range for this role is $105,000 USD to $147,000 USDComprehensive benefits package including paid time off, medical, dental, vision insurance, and 401(k) for eligible employees Benefits & Perks: Paid time offMedical insuranceDental insuranceVision insurance401(k) Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.