People In AI

About the Company

At People in AI, we specialize in staffing solutions for the rapidly expanding AI sector. Our expert recruiters focus exclusively on matching top AI talent with innovative companies. See our current live roles: www.peopleinai.com/jobs Headquartered in New York, we cover key locations across the United States and Canada, from New York to California and beyond. We cater to your unique needs, offering both full-time and contract-to-hire services at all levels. Trust us to navigate the dynamic AI talent landscape and find the best fit for your business.

Listed Jobs

Company Name

People In AI

Job Title

AI Engineer

Job Description

**Job title**: AI Engineer – ML & LLM Infrastructure **Role Summary**: Design, build, and deploy scalable AI/ML infrastructure and intelligent systems to support investment workflows and internal operations. Lead foundational architecture, tooling, and multi‑cloud deployments while integrating retrieval‑augmented generation and large language models. Drive organization‑wide AI adoption, reduce vendor dependence, and provide technical evangelism across all teams. **Expectations**: 3–5 years of software engineering experience with a strong focus on machine learning; proven ability to develop production‑grade ML pipelines; experience in high‑volume, data‑rich environments. Must hold a bachelor’s degree in Computer Science or related field (master’s in AI or advanced data science preferred); current certifications in major cloud platforms (AWS, Azure, or GCP) and ML frameworks are a plus. **Key Responsibilities** - Build and maintain end‑to‑end ML pipelines that power decision‑making and operational efficiency. - Design and implement infrastructure and tooling for scalable AI/ML deployment across cloud platforms. - Develop retrieval‑augmented generation (RAG) systems and large language model pipelines for search and content generation. - Deploy and monitor LLM‑based solutions on AWS, Azure, or GCP with production‑grade reliability. - Collaborate with data, investment, and business teams to identify high‑impact AI opportunities and translate them into technical deliverables. - Champion AI adoption firm‑wide, reduce reliance on external vendors, and enable self‑service by providing reusable components and documentation. - Evangelize AI concepts internally, creating awareness, excitement, and cross‑functional engagement. - Own architecture, tooling, and system ownership from green‑field design to production. **Required Skills** - Python programming coupled with deep learning frameworks (PyTorch, TensorFlow). - Proficiency with HuggingFace ecosystem, including model training, fine‑tuning, and deployment. - Hands‑on experience building and scaling LLM pipelines and RAG applications. - Expertise in NLP and/or computer‑vision model development and deployment. - Strong cloud‑native ML operations experience (AWS Sagemaker, Azure ML, GCP Vertex AI). - Product mindset: align technical initiatives with commercial objectives and user needs. - Excellent communication and stakeholder management skills. - Self‑directed, builder mentality comfortable launching green‑field solutions. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related discipline. - Master’s degree in AI, Machine Learning, or related field preferred. - Certifications such as AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, or GCP Professional Machine Learning Engineer are advantageous.

New york, United states

Hybrid

24-11-2025