Principal Engineer – AI/ML Innovation

7 hours ago

New York, New York, United States Kentan Staffing Solutions Full time

Principal Engineer – AI/ML Innovation

Title: Principal Engineer – AI/ML Innovation

Contract Details:

Location: New York, NY - Remote with occasional travel

Duration: 6+ month Contract/C2H

Start Date: ASAP

Candidates Considered: USC or GC Holder

Overview

Our client is seeking a Principal Engineer focused on AI/ML innovation and model development to lead next-generation personalization and data-driven wellness initiatives. This role bridges science, data, and engineering to drive the rapid prototyping and productionization of advanced AI and machine learning solutions. The ideal candidate is a hands-on innovator passionate about transforming early research models into production-grade systems that deliver measurable value.

Key Responsibilities

  • Collaborate with Science, Data, and Product teams to prototype and validate AI/ML models using Python, FastAPI, and modern orchestration frameworks.
  • Lead efforts to productionize machine learning prototypes, ensuring scalability, reproducibility, and performance.
  • Design and deploy ML pipelines and inference services using TensorFlow, PyTorch, Scikit-learn, or XGBoost.
  • Develop and optimize agentic LLM pipelines, RAG workflows, and semantic search using OpenSearch, Bedrock, and other vector databases.
  • Partner closely with IT and DevOps to operationalize innovation in a secure and compliant manner.
  • Integrate LLM and generative AI APIs (OpenAI, Bedrock, Anthropic, etc.) into production systems.
  • Mentor junior engineers and data scientists on best practices in experimentation, deployment, and observability.

Required Skills & Experience

  • 7+ years of software or ML engineering experience, with 2+ years in production AI/ML deployment.
  • Advanced Python skills, including FastAPI, async microservices, and ML infrastructure development.
  • Hands-on experience with AWS AI/ML services (Bedrock, ECS, Lambda, OpenSearch, CloudWatch).
  • Deep understanding of vector databases, retrieval architectures, and embedding pipelines.
  • Strong MLOps experience (CI/CD, model registry, reproducibility, automated deployment).
  • Background in health tech, wellness, or regulated environments (DSHEA, HIPAA) is a plus.

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