AI / ML Engineer - Remote

Job Title : AI / ML Engineer

Location : 100% REMOTE, Must be local to Phoenix, AZ / Chicago, IL / Richarson, TX / Woonsocket, RI / Florham Park, NJ only

Duration : 12+ Months Contract

Interview : Video

VISA : USC / GC Only !!!

Job Description- :

This role is REMOTE but the candidate must be local to Phoenix, AZ / Chicago, IL / Richarson, TX / Woonsocket, RI / Florham Park, NJ only

AI Native Full Stack Engineer

You will be responsible for designing, developing, and deploying robust and scalable AI Native Applications that leverage artificial intelligence (AI) and machine learning (ML) services and tools. You bring expertise in full-stack web application development using programming languages like Python and JavaScript frameworks such as Angular C React. You have demonstrated experience of fundamentals of machine learning principles, natural language processing (NLP) and principles of Generative AI. You must have experience on Google Cloud Platform (GCP) through the entire application life cycle management through development, deployment, telemetry, logging etc.,

Responsibilities :

• Design, develop, and maintain AI Native web applications and / or web services to deliver innovative features and functionalities. Eg : Retrival Augmented Generation
• Utilize Google Cloud Platform (GCP) services (e.g., AI Platform, Vertex AI, BigQuery, Cloud Storage) to build, train, and deploy AI Native Applications.
• Implement and integrate AI / ML models and ML Services into existing applications and systems using Python and JavaScript.
• Collaborate with data scientists, product managers, and other engineering teams to translate business requirements into technical solutions.
• Finetune models on GCP for use case specific needs.
• Conduct model evaluation, testing, and deployment, ensuring high-quality and reliable AI solutions.
• Stay updated with the latest advancements in AI, machine learning, and cloud technologies.
• Working knowledge of Agile Scrum methodologies including document technical designs, processes, and model specifications.
• Leverage LangChain, LangGraph, ADK, and other agent orchestration frameworks.
• Implement prompt engineering, chain-of-thought workflows, and retrieval- augmented generation (RAG) pipelines.
• Develop modular, scalable architectures for AI-powered web apps and APIs.
• Integrate LLMs with enterprise systems, databases, and external services.
• Implement vector databases for semantic search.
• Build connectors for structured / unstructured data ingestion.
• Work closely with automation teams, architects, and product owners to deliver end-to-end AI solutions.
• Document workflows and best practices for AI integration.

Qualifications :