Job Summary
We are looking for a strong Lead AI Developer to join a global team at a leader in data science and AI innovation within the insurance industry. The ideal candidate will have hands-on experience in end-to-end AI product development, backend system design, and productionizing AI models. This is a unique opportunity to work on cutting-edge AI solutions, including generative AI, while leading a talented and globally distributed team of experts.
Key Responsibilities:
- Design and develop high-performance, low-latency AI-powered applications.
- Oversee the full lifecycle of AI product development, from ideation to production.
- Collaborate with cross-functional teams to implement best practices in software engineering (CI/CD, performance optimization, and observability).
- Lead backend development efforts for AI applications, ensuring scalability and reliability.
- Work on generative AI use cases, including template-free content extraction, risk scoring, marketing optimization, and contract intelligence tools.
- Mentor team members and manage contractors to deliver high-quality AI solutions.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in AI product development or backend software engineering.
- Expertise in Python, Java, microservices, and cloud platforms (AWS/Azure).
- Strong understanding of CI/CD pipelines and MLOps practices.
- Experience working with frameworks like Flask/Django.
- Hands-on experience with large language models (LLMs) and generative AI.
- Strong leadership skills and the ability to manage independent, senior-level team members.
- A startup mindset with the ability to thrive in a fast-paced, highly regulated environment.
Compensation:
- Base salary: $170-200K
- Bonus potential: 25%.
- Hybrid work arrangement (2-3 days in-office per week) with flexibility to work from offices in Hartford, CT; New York, NY; Morristown, NJ; or Axton, PA.
This is an exciting opportunity to shape the future of AI within a global organization and make a meaningful impact across multiple high value use cases.
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