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# AI/ML Engineer

- **Company:** Diverse Lynx LLC
- **Location:** Hartford, CT, United States
- **Experience:** Expert
- **Salary:** $73,000.0 - $101,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Performance Tuning, Rapid Prototyping Process, Tensorflow, Software Engineering, Tokenization, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Fastapi, HuggingFace, Streamlit Framework, Data Pipelines
- **Published:** July 12, 2026
- **Apply:** https://www.careerjet.com/job/us00d0baf0cd16ad8a4a4cb3f06fd6e8d7/eaa

## About the Role

* 6+ years of overall experience in software development focusing on AI/ML engineering.
 * 2+ years of hands-on experience with deep learning for NLP/GenAI.
 * Strong Python proficiency, including writing production-quality, testable, maintainable code.
 * Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers.
 * Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches).
 * Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

## Description

We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and measurable outcomes.
Responsibilities

 * Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A).
 * Develop efficient, well-documented Python code for training, inference, and evaluation pipelines.
 * Build RAG applications using embeddings, vector databases, and prompt engineering techniques.
 * Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability.
 * Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift).
 * Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD., Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, re…
 + 2 days ago


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