AI Engineer

Overall Responsibilities: 

• Architect and lead end-to-end ML/AI solutionssupporting life insurance underwritingusing LLMs, deep learning, and probabilistic modeling—from ideation to production. 

• Deploy scalable GenAI and Agentic AI systems that directly support business goals. 

• Establish and promote best practices in AI development and responsible AI deployment. 

• Drive innovation by identifyingemerging technologies and translating research into practical applications. 

• Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs. 

• Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions. 

• Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively. 

• Mentor and develop junior talent, fostering a culture of technical excellence and continuous learning. 

Candidate Requirements: 

• Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions. 

• 7+ years of experience in data science, machine learning, or AI engineering roles. 

• Deep understanding of machine learning, statistics, NLP, optimization, and LLMs. 

• Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow, llama-index, MCP). 

• Extensive experience testing LLM behavior across a variety of foundation models and benchmarks. 

• Experience building AI-powered applications and collaborating with software engineers and product managers. 

• Strong programming skills in Python. Proficiency in R is a plus. 

• Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search is a plus. 

• Exceptional communication skills, with the ability to explain complex concepts to non-technical stakeholders.