AI / ML Engineer

DKAI Technologies; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

DKAI Technologies is seeking an AI/ML Engineer to design and operate LLM pipelines for training, fine-tuning, evaluation, and deployment. You will move experiments into production with robust CI/CD, observability, and governance.

The role emphasizes advanced Python, MLOps, and cloud services, with focus on healthcare solutions and cross-team enablement.

Qualifications

• Strong software engineering background with Python excellence.
• Experience in MLOps/LLMOps environments.
• In-depth knowledge of LLM-based production systems.
• Experience with cloud services and multi-cloud setups.
• Production ML frameworks experience.

Responsibilities

• Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.
• Move LLM apps from experimentation to production with repeatable processes.
• Implement monitoring/observability for latency, throughput, model behavior, hallucinations, and quality signals.
• Manage prompt versioning, fine-tuning workflows, and retrieval-augmented generation.
• Automate model validation, testing, and CI/CD for safe releases.
• Apply security, data governance, compliance, and ethical-use practices to production LLM systems.
• Review processes, improve efficiency, and enable cross-team collaboration.

Skills

Advanced Python

MLOps

LLMOps

Multi-cloud

Security

Governance

ML frameworks

Problem solving

Knowledge sharing

Education

Bachelor's or Master's degree or equivalent

Job description

Role overview

This AI/ML Engineer role focuses on building production systems that use generative AI, deep learning, large language models, and cloud AI services in healthcare solutions. You will take models and experiments through operationalization, creating reliable pipelines, evaluation practices, observability, and deployment processes for real-world use. The role combines advanced Python engineering with MLOps/LLMOps, infrastructure, security, governance, and cross-team enablement.

Responsibilities

• Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.
• Move LLM applications from experimentation into production environments with repeatable operational processes.
• Implement monitoring and observability for latency, throughput, model behavior, hallucinations, and related quality signals.
• Manage prompt versioning, fine-tuning workflows, and retrieval-augmented generation systems.
• Automate model validation, testing, and CI/CD pipelines to support safe and dependable releases.
• Apply security, data governance, compliance, and ethical-use practices to production LLM systems.
• Review existing processes, improve efficiency, and provide solutions that help multiple teams work effectively.

Requirements

• At least one year of experience in MLOps or LLMOps.
• Strong software engineering background with advanced Python skills.
• Thorough understanding of infrastructure requirements for operating LLM systems.
• Experience with cloud-based services, including multi-cloud environments and AI services.
• Familiarity with machine learning frameworks and techniques for optimizing models in production.
• Strong problem-solving skills and the ability to lead or facilitate knowledge-sharing sessions.
• Bachelor's or master's degree, or equivalent education; the source specifies 15 years of full-time education.

Nice to have

• Experience designing production-grade healthcare AI systems where reliability, governance, privacy, and responsible use are central considerations.