AI/ML Engineer

AI/ML Engineer

Location: Mason, OH/ Woodland Hills, CA (Day 1 onsite)

Duration: Contract/ w2

Bill Rate: $55 - $60/hr

About the Role

Python (Expert level)

Machine Learning & Model Training

Training, evaluation, fine-tuning

Tagging and labeling workflows

Generative AI & LLMs

Prompt engineering for LLM-based applications

Document Processing

Document extraction, parsing, and chunking

Handling structured & unstructured data

Embeddings & Vector Search

Embedding generation

Vector database integration

Databases

Vector Databases

MongoDB

Production-grade ML Engineering

Scalable, production-ready ML/GenAI solutions

Roles & Responsibilities

This role is for a hands-on AI/ML Engineer who will design, build, and deploy production‐grade Machine Learning and Generative AI solutions. The candidate must have strong Python expertise and practical experience taking ML and GenAI use cases from development to deployment. The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, and embedding-based search solutions. The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ideal candidate is someone who understands end-to-end ML workflows—from data preparation, tagging, and labeling, through model training, evaluation, and fine-tuning—while ensuring solutions are scalable, high quality, and production ready.

Essential Skills

We are seeking a highly skilled AI/ML Engineer to design| develop| and deploy advanced AI solutions leveraging LLMs| RAG architectures| and agentic AI systems. The ideal candidate will have deep Python expertise| strong NLP knowledge| and hands-on experience integrating AI models into scalable| production-grade cloud environments

Key Responsibilities

Design and implement AI/ML solutions using Python and modern ML frameworks

Develop and optimize Prompt Engineering strategies for LLM-based systems

Build and deploy Retrieval-Augmented Generation (RAG) pipelines

Integrate LLMs via APIs (Azure Open AI preferred) into enterprise applications

Develop and orchestrate Agentic AI workflows with tool/function calling

Implement vector search solutions using Vector Databases

Ensure CI/CD integration and cloud deployment (Azure preferred)

Establish observability| monitoring| and evaluation frameworks for AI systems

Collaborate with cross-functional teams to deliver production-ready AI features

Required Qualifications

Expert-level proficiency in Python

Strong experience with LLM integration and RAG architectures

Hands-on experience with Prompt/Context Engineering

Solid understanding of NLP concepts and transformer-based models

Experience with Vector DBs and/or MongoDB

Knowledge of CI/CD pipelines and cloud deployment (Azure preferred)

Desirable Skills

Python

DevOps

Continuous Integration and Continuous Delivery (CI/CD)

Azure Machine Learning (ML)

AI Agents

8-10 Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.