AI/ML & Generative AI Engineer

Startekk Inc; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Startekk Inc in Plano, TX seeks an onsite AI/ML and Generative AI Engineer to build enterprise healthcare AI solutions across ML, LLM, NLP, and conversational assistants.

Responsibilities include designing, training, and deploying ML models, building pipelines on Google Cloud (Vertex AI, BigQuery ML), and developing GenAI/chatbot solutions. Candidates should handle HIPAA concerns and work with cross-functional teams.

Qualifications

• AI/ML domain expertise with healthcare familiarity preferred.
• Proficient in Python programming and cloud platforms.
• Experience with Vertex AI, BigQuery ML, and GenAI/LLMs.
• Familiar with NLP, Kore.AI, and model evaluation.
• Hands-on with TensorFlow, PyTorch or Scikit-learn and CI/CD.
• Experience with HIPAA/PHI data handling is a plus.

Responsibilities

• Design, train, and deploy ML models using Python on cloud platforms.
• Build ML pipelines on Google Cloud including Vertex AI and BigQuery ML.
• Develop Generative AI and LLM-based solutions and chatbots.
• Prepare datasets: labeling, cleaning, curation for NLP/LLM tasks.
• Evaluate outputs for accuracy, relevance, quality, and consistency.
• Develop automated testing and integrate into CI/CD pipelines.
• Monitor, troubleshoot, and optimize deployed AI models and assistants.
• Collaborate with data engineering, product, QA, and business teams.

Skills

AI/ML

Python

GCP

Vertex AI

BigQuery ML

Generative AI

LLMs

NLP

Kore.AI

TensorFlow

PyTorch

Scikit-learn

CI/CD

Tools

Kore.AI

Vertex AI

BigQuery ML

TensorFlow

PyTorch

Scikit-learn

Job description

Startekk Inc is hiring an onsite AI/ML and Generative AI Engineer in Plano, TX to build enterprise healthcare AI solutions across ML, LLM, NLP, and conversational assistants.

Responsibilities

• Design, develop, train, and deploy machine learning models using Python and cloud-based AI platforms
• Build and maintain ML pipelines on Google Cloud, including Vertex AI and BigQuery ML
• Develop and implement Generative AI and LLM-based solutions
• Design, develop, and configure conversational AI bots using Kore.AI
• Prepare, clean, curate, and label datasets for LLM and NLP applications
• Evaluate AI-generated outputs for accuracy, relevance, quality, and consistency
• Develop and maintain automated testing frameworks for AI/ML and GenAI applications
• Validate model performance and integrate automated testing into CI/CD pipelines
• Monitor, troubleshoot, and optimize deployed AI models and conversational assistants
• Collaborate with data engineering, product, QA, and business teams to productionize AI solutions

Requirements

• Artificial Intelligence and Machine Learning (AI/ML)
• Python programming
• Google Cloud Platform (GCP)
• Experience with Vertex AI and BigQuery ML
• Generative AI and Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Experience with Kore.AI conversational AI platform
• ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Data preparation, curation, labeling, and evaluation
• SDET and test automation experience for AI-enabled applications
• Experience developing and deploying enterprise AI/ML solutions
• Healthcare domain experience, including claims processing or member engagement platforms (as applicable)
• Experience with conversational AI and virtual assistant development
• Knowledge of model evaluation, monitoring, and optimization
• Experience working in healthcare or other regulated environments
• Working knowledge of HIPAA and PHI data handling
• Ability to handle Protected Health Information (PHI) securely
• Strong communication and collaboration skills with cross-functional teams
• Understanding of healthcare data and business processes
• Knowledge of HIPAA compliance requirements

Onsite Location & Deployment Context

• Location: Plano, TX (onsite)
• Onshore healthcare technology opportunity in the United States
• Candidates should have relevant hands-on experience in one or more of the listed AI/ML and Generative AI technology areas

Technologies

• Python
• Google Cloud Platform (GCP)
• Vertex AI
• BigQuery ML
• Generative AI
• Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Kore.AI
• TensorFlow, PyTorch, Scikit-learn
• CI/CD