Ai Engineer

Location: New York, NY (Hybrid / On-site / Remote within the U.S.) Employment Type: Full-time

About the Role

We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that solve real-world business problems. You’ll work closely with product, data, and engineering teams to turn machine learning and AI research into scalable production solutions.

This role is ideal for someone who enjoys working end-to-end—from data pipelines and model training to deployment and monitoring in production.

Key Responsibilities

Design, develop, and deploy machine learning and AI models for production use

Build scalable data pipelines for training, inference, and evaluation

Work with structured and unstructured data (text, images, audio, time-series)

Implement and optimize models using modern ML/DL frameworks

Integrate AI services into backend systems and APIs

Monitor model performance, accuracy, and drift in production

Collaborate with product managers and stakeholders to define AI solutions

Stay current with the latest advancements in AI and ML

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or a related field

3+ years of experience building and deploying ML/AI systems

Strong programming skills in Python (required)

Hands-on experience with PyTorch, TensorFlow, or JAX

Solid understanding of machine learning fundamentals and algorithms

Experience with REST APIs, microservices, and backend systems

Familiarity with SQL and NoSQL databases

Experience deploying models using Docker and cloud platforms (AWS, GCP, or Azure)

Preferred Qualifications

Experience with LLMs, NLP, or computer vision

Knowledge of MLOps tools (MLflow, Airflow, Kubeflow, or similar)

Experience with vector databases and retrieval-augmented generation (RAG)

Exposure to real-time or large-scale data systems

Startup or fast-paced environment experience