Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!
Lead the development and advanced AI models explorer/evaluation, Agentic AI application evaluation and tuning.
Build and manage highly motivated, high-performing software engineering teams to support various business and technology areas.
Key responsibilities include hiring, mentoring, and motivating staff, driving budgeting and planning, and collaborating with product managers to estimate effort, prioritize the roadmap, and deliver high-quality applications.
Design robust, modular, and scalable systems, leading teams hands-on to implement new features, and ensuring systems are secure, compliant, and up to date.
Identify opportunities for system and process improvements, leverage CI/CD and process optimization, and stay current with industry trends.
Assist in developing the technical vision, strategy, and innovation for Mercury’s application systems, fostering a culture of continuous improvement, innovation, and excellence.
Requirements
Minimum: Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems or other related fields Or equivalent combination of education and experience.
Preferred: M.S./PHD Data Science, Computer Science, Mathematical or related
Minimum: 10+ years of Software engineering experience with 5+ years leading and managing staff
Preferred: 5+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
5+ years experience in building large scale enterprise application and platform.
1+ experience on insurTech
Proficient in building and managing a large, highly motivated, high-performing software engineering team(s) by hiring strong talent, mentoring, and motivating staff.
Experienced in hiring and developing strong next-level managers and leaders.
Proficient in project management tasks like estimating, planning, executing, tracking, and reporting progress.
Proficient in leading multiple engineering teams to deliver high-quality product solutions per roadmap on different technology stacks like mobile, web, backend, data, etc.
Experienced in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, are fast, effective, user-friendly, secure, compliant, scalable, and maintainable.
Proficient in leveraging technologies like APIs, messaging, data streaming, workflow, integration frameworks, microservices, containers, and cloud computing to implement best-in-class solutions.
Maximizing use of open-source libraries where possible.
Experienced in leveraging DevSecOps to improve engineering efficiency.
Experienced in leveraging analytics data and experimentation to design and implement or improve systems to be fast, scalable, and effective.
Experienced in leading parts of transformative initiatives like digital transformation, omni-channel system implementation, legacy system migration, cloud transformation, system optimization & modernization, product & services development, AI/ML adoption.
Excellent written and verbal communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
Strong ability to collaborate and influence cross-functional teams and stakeholders to address impediments and deliver desired results.
Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability.
Experienced in helping to drive technical strategy, vision, and innovation.
Preferred: 3+ years of experience in Machine Learning algorithms, Deep Learning, NLP, LLMs, and Generative AI, Agentic AI.
Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment.
Knowledge in large-scale system deployment of AI models and Agentic AI applications.
Expertise in building and optimizing POCs, with hands-on experience in training and Agentic AI Best Practices and evaluation.
Advanced proficiency in Java, Python, ML frameworks and ml libraries.
Great communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences.
Experience on public cloud such as aws, sagemaker, MLflow, etc.
Proven experience in insurTech or related industries
Tech Stack
AWS
Cloud
Java
Microservices
Python
Benefits
Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more