Who We Are :
Zinnia is the leading technology platform for accelerating life and annuities growth. Through innovative enterprise solutions and actionable data insights, we simplify the process of buying, selling, and managing insurance products—empowering more people to protect their financial futures. Our success is built on three core values : be bold , team up , and deliver value . With over $180 billion in assets under administration, we serve 100+ carrier clients, 2500 distributors and partners, and more than 2 million policyholders.
Who You Are :
You're an experienced and collaborative engineer ready to build and enhance advanced AI-driven features and systems. At Zinnia, our software engineering team thrives on solving complex problems, iterating quickly, and delivering scalable, reliable products. You're passionate about working across AI and web technologies to deliver meaningful, high-impact solutions for users.
What You'll Do :
- Continuously develop new features and enhance our AI-powered platform to improve the insurance experience
- Collaborate cross-functionally with engineers, ML researchers, PMs, and DevOps to ship secure, scalable applications
- Build and maintain robust, extensible code in Python , TypeScript , and React
- Architect end-to-end solutions, ensuring scalable and efficient deployment of AI models and APIs
- Design, develop, and optimize AI model inference pipelines and real-time AI systems
- Integrate LLMs with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma)
- Build internal tooling to support AI research and streamline ML workflows
- Develop and maintain RESTful and GraphQL APIs for AI-based services
- Work within Agile / Kanban frameworks and CI / CD pipelines
- Provide mentorship to junior engineers and contribute to team-wide best practices
- Participate in technical discussions, architectural design, and project planning
- Stay up to date with AI advancements, sharing knowledge and influencing product direction
What You'll Need :
5–10+ years of experience in software engineering, with at least 2 years on AI-related projectsStrong proficiency in Python and TypeScript / JavaScriptExperience designing scalable and maintainable software architecturesFamiliarity with Kubernetes , Docker , and cloud platforms (AWS, GCP, Azure)Understanding of modern AI systems, LLMs, and inference optimizationExperience working with large datasets and integrating vector search systemsAbility to explain complex AI systems to both technical and non-technical stakeholdersFamiliarity with SQL (PostgreSQL, BigQuery), NoSQL (MongoDB, Redis), and vector databasesExposure to observability and monitoring tools for deployed AI servicesBachelor's or Master's degree in Computer Science, AI, or related field (or equivalent experience)You'll Stand Out If You Have :
Experience with OpenAI , Azure AI toolsets , Claude , Gemini , or Mistral modelsHands-on experience with PyTorch , TensorFlow , JAX , or Hugging Face TransformersSkills Required
Product Management, Technical, Agile Methodologies, Data Analysis, Api Development