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# Sr. AI/ML Engineer -Remote

- **Company:** ConsultNet
- **Location:** Rockland, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Open Source Technology, OpenAI, Tensorflow, Standard Sql, Pinecone, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Agentic-AI, Scikit Learn, Kubernetes, HuggingFace, Weaviate, Machine Learning Operations, Software Version Control, Data Pipelines, Docker, ChromaDB, Agent2Agent Protocol
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/d80a3aab-fd48-46cc-8f4f-95f354737feb/sr-aiml-engineer-remote

## About the Role

* 5 years in data science or machine learning
 * Strong experience with LLMs, generative AI, and prompt/context engineering
 * Hands-on RAG and vector database experience
 * Proficiency in Python, PyTorch and/or TensorFlow
 * Solid MLOps experience (CI/CD, model versioning, monitoring)
 * Experience deploying models on cloud platforms (AWS, Azure, or GCP)
 * Strong communication and stakeholder engagement skills

Preferred Experience

 * Regulated industry experience (finance, healthcare)
 * Experience with OpenAI / Anthropic APIs
 * Vector databases (Pinecone, Weaviate, Chroma)
 * Large-scale or distributed model deployment
 * Open-source ML/AI contributions

Tech Stack
Python, SQL * PyTorch, TensorFlow, scikit-learn * LangChain, LangGraph, Hugging Face
Docker, Kubernetes, MLflow * AWS / Azure / GCP * Vector databases

Bonus/Soft Skills :

 * The team values adaptability, eagerness to learn, and excitement about AI/ML and GenAI.
 * Company culture is collaborative and fast-paced, with a focus on innovation.
 * The team is currently using Snowflake and Azure, with professional services support for MLOps setup.

## Description

We are seeking a Senior Data Scientist to build and deploy production-ready machine learning and generative AI solutions. This role focuses on developing intelligent systems using LLMs, agent-based architectures, and scalable MLOps practices., * Build, deploy, and optimize ML and generative AI solutions in production

 * Develop Retrieval Augmented Generation (RAG) pipelines and AI agents
 * Implement agent orchestration patterns (MCP, A2A) using LangChain and LangGraph
 * Design MLOps pipelines for model training, deployment, monitoring, and feedback loops
 * Collaborate with data engineering teams on data pipelines and features
 * Mentor junior data scientists and contribute to AI best practices