Software Engineer (AI Products)

• As a Software Engineer on the Babbix product, you’ll drive major product initiatives from inception to delivery
• You’ll design, build, and scale the systems that power our AI workflows, from APIs and data pipelines to model orchestration and integration with external partners
• You’ll collaborate closely with brokers and internal teams to turn ideas into production-ready features that make our AI output transparent, accurate, and trustworthy
• Build Core AI-Product Features for Enterprise Brokers
• Own large new areas within our product
• Drive the development of backend systems (APIs, data pipelines, and model orchestration), working closely with product teams to bring new capabilities to life
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Improve Developer Experience & Internal Tools
• Contribute to internal tooling, testing infrastructure, and CI/CD to improve velocity and reliability
• Help evolve our Google Cloud Platform-based architecture as new product features are launched
• Collaborate Directly with Clients
• Gather feedback from pilot users and translate it into product improvements and feature priorities
• Work closely with customer success and integrations teams to ensure smooth rollouts and a great user experience

Benefits

• Company equity
• Hybrid-flexible company
• Relocation stipend
• Quarterly in-person meetups (on the company)
• 20 days of PTO (that roll over) + 12 company holidays + 5 sick days
• Quality health, vision, and dental insurance
• Pre-tax commuter benefits to be used towards parking & transit costs
• 401K plan
• Parental leave for all kinds of parents (including adoption and foster care)
• $500 additional home office stipend (beyond the standard equipment)

• Experience with relational or NoSQL databases (e.g., Postgres, MySQL, MongoDB, Redis, etc.)
• Hands-on experience with LLMs, vector databases, or other emerging AI technologies
• Fluent in at least one modern programming language (Python, TypeScript, Go, Rust, etc.) and quick to adapt to new technologies
• Experience with Docker and major cloud providers (Google Cloud Platform, Amazon Web Services, or Microsoft Azure)
• Experience shaping products at fast-growing startups
• 2+ years of experience building backend or full-stack systems from design through production
• Experience with model evaluation, benchmarking, or human-in-the-loop review workflows
• Background in insurance, fintech, or other data-heavy SaaS products

#J-18808-Ljbffr…