AI/ ML Developer

Senior AI/ML Developer 

REMOTE (United States) with travel required

AI Platform Engineering & LLM Implementation

A growing mid-market organization is expanding its AI capabilities and is seeking a Senior AI/ML Developer to help build and operationalize real-world AI solutions.

This role is for someone who enjoys writing code, solving complex technical problems, and bringing AI models into production environments.

You will play a key role in implementing machine learning and Generative AI capabilities while ensuring models are reliable, scalable, and properly integrated into enterprise systems.

You will also partner closely with business teams that are building predictive models but need engineering expertise to deploy and operationalize them.

What You’ll Do

Maintain and Modernize Existing Models

The organization already uses predictive models across several functions. You will:

• Maintain and optimize existing ML and predictive models

• Improve model retraining, validation, and monitoring

• Strengthen modeling pipelines to ensure reliability and repeatability

Implement Generative AI and LLM Solutions

You will help design and implement real-world GenAI applications, including:

• Retrieval-Augmented Generation (RAG)

• Prompt orchestration and evaluation

• Monitoring and tuning LLM outputs

You will also integrate vendor-delivered GenAI capabilities into the organization’s data ecosystem.

Build and Integrate AI Systems

This role sits within the engineering layer of the AI platform. Responsibilities include:

• Building and maintaining data and AI pipelines

• Integrating models with enterprise systems and APIs

• Supporting CI/CD processes and model versioning

• Ensuring solutions can scale in production environments

Support Business Teams Deploying Models

Several business units build analytical models but lack engineering capabilities to deploy them. You will:

• Partner with teams such as Actuarial and Underwriting

• Help operationalize models built by business experts

• Ensure models follow proper MLOps and governance standards

Ensure Operational Reliability

You will implement monitoring and controls to ensure:

• Model performance and drift are tracked

• Systems remain reliable and cost efficient

• AI solutions meet audit and governance requirements

What You Bring

• 7+ years of experience in AI engineering, machine learning, or software development

• Strong programming skills in Python

• Experience working with modern ML frameworks

• Experience deploying models into production environments

• Experience building data pipelines and API-based integrations

• Ability to work in environments where requirements evolve quickly

Nice to Have

• Experience with LLMs or Generative AI platforms

• Exposure to RAG architectures or agent-based systems

• Experience integrating vendor-delivered AI platforms

• Background working in regulated industries

What Makes Someone Successful 

• Builder mindset with strong engineering discipline

• Ownership and accountability for delivering production-ready solutions

• Pragmatic problem solving

• Ability to balance speed, quality, and risk

Compensation

Base salary plus yearly bonus and long-term incentive plan

Why This Role Is Interesting

You will have the opportunity to:

• Work on real AI systems deployed in production

• Implement cutting-edge GenAI and LLM capabilities

• Partner with business teams solving meaningful problems

• Help build the AI foundation of a growing organization