AI/ML Engineer - Remote

Position Overview

Job Title: AI/ML Engineer. This is a REMOTE role; however, the candidate must be local to Phoenix, AZ / Chicago, IL / Richarson, TX / Woonsocket, RI / Florham Park, NJ. Duration: 12+ Months Contract. Visa requirement: USC/GC Only. As an AI Native Full Stack Engineer, you will design, develop, and deploy robust and scalable AI Native Applications leveraging artificial intelligence and machine learning technologies.

Key Responsibilities

• Design, develop, and maintain AI Native web applications and/or web services to deliver innovative features and functionalities (e.g., Retrieval 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.
• Apply Agile Scrum methodologies, 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.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience as an AI Engineer, ML Engineer, or similar role.
• Strong proficiency in Python (mandatory) and familiarity with JavaScript/TypeScript.
• Hands-on experience with LangChain, ADK, and orchestration frameworks.
• Experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) and prompt engineering.
• Proficiency in GCP services and SDKs; experience with Azure or AWS is a plus.
• Strong knowledge of FastAPI/Django, Angular/React, and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Familiarity with vector databases (Pinecone, Weaviate, FAISS).
• Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
• Good understanding of ML algorithms, deep learning, and statistical analysis.
• Ability to work independently and collaboratively in Agile environments.
• Excellent communication and interpersonal skills.