AI/ML Implementation Engineer

Senior AI/ML Developer 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