Job Overview
We are hiring an AI Developer to design and deliver production-grade AI systems that support complex, high-volume workflows. This is a hands-on role for an experienced practitioner who can translate applied AI concepts into reliable, real-world solutions within regulated environments. Candidates who demonstrate strong engineering fundamentals and end-to-end ownership of AI delivery will be well positioned for success.
Must Haves
- 3–7 years of professional software engineering experience with a primary focus on AI or machine learning
- Strong proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Practical experience building and deploying large language model (LLM)–based solutions
- Familiarity with APIs, vector databases, and orchestration tools commonly used in AI systems
- Proven experience deploying and supporting models in production environments
- Solid understanding of model performance, reliability, and explainability considerations
- Ability to operate effectively in fast-paced, evolving technical environments
What the Client Needs You to Do
- Deliver applied AI solutions that move beyond experimentation and generate measurable outcomes
- Translate product and business requirements into scalable, production-ready AI systems
- Collaborate closely with product, data, and engineering teams to integrate AI into core platforms
- Own AI initiatives from early prototyping through deployment and ongoing improvement
- Ensure AI systems meet performance, quality, and compliance expectations
Key Responsibilities
- Design, develop, and deploy AI and machine learning models that support automation, prediction, and decision-making
- Build and maintain LLM-driven workflows, including prompt design, retrieval mechanisms, evaluation methods, and safety controls
- Integrate AI models into existing platforms and services in collaboration with engineering partners
- Optimize models and pipelines for scalability, latency, accuracy, and operational stability
- Implement monitoring, evaluation, and explainability practices appropriate for regulated environments
- Contribute to architectural decisions related to AI systems, data pipelines, and model deployment
- Diagnose and resolve issues based on production behavior and user feedback
- Document system designs, assumptions, and implementation details to support long-term maintainability
Additional Information
- This role is part of a small, experienced technical team with significant ownership and influence
- Work involves close collaboration with technical leadership and visibility into strategic decisions
- Prior experience in regulated industries such as healthcare, life sciences, or financial technology is advantageous but not required
- Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools is beneficial
W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.
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