AI Automation Engineer

Bestow is a leading vertical technology platform focused on modernizing life insurance through innovative solutions. The AI Automation Engineer will identify, build, and scale AI-powered automation to enhance internal operations, enabling teams to focus on strategic work.

Responsibilities:

• Rapidly prototype MVPs using LLM APIs (Gemini, Anthropic), agent frameworks, and workflow orchestration platforms (n8n, Zapier, Make) to address business bottlenecks
• Develop production-grade internal applications with reliable frontends, robust backends (Python), and proper observability
• Design and implement RAG architectures, multi-step agent workflows, and structured output pipelines grounded in company data
• Build automated evaluation frameworks (evals) to ensure the reliability, accuracy, and safety of AI-generated outputs
• Use AI tooling to accelerate your own development process, supervising AI's architectural choices and debugging where it falls short
• Evolve successful prototypes into durable production systems with comprehensive error handling, logging, retry logic, and monitoring
• Research and propose solutions that handle sensitive and business-critical data with appropriate security controls (PII handling, SOC2 awareness, HIPAA considerations, human-in-the-loop safeguards)
• Optimize for cost, latency, and token efficiency across LLM-powered workflows
• Design resilient systems with comprehensive monitoring and alerting that contribute to overall automation governance
• Communicate complex technical concepts to non-technical stakeholders, building alignment and driving informed decision-making
• Host workshops, create playbooks, and train team members across all departments, ensuring they can safely and effectively use, maintain, and get value from the tools you ship
• Document automation patterns and best practices to ensure long-term maintainability of processes with increasing criticality
• Champion responsible AI practices across the organization, ensuring the automations you build include appropriate human oversight, observability, and safeguards, especially for business-critical or sensitive data workflows

Requirements:

• 5+ years of experience in full-stack development or software engineering with strong skills in Python and JavaScript/TypeScript
• 1+ years of hands-on experience building LLM-backed tools involving prompt engineering, API integration, and automated evaluations
• Demonstrated experience with at least one orchestration/agent framework (LangChain, LangGraph, CrewAI, AutoGen, or similar)
• Familiarity with RAG architectures, including vector databases (Pinecone, Weaviate, pgvector) and embedding pipelines
• Experience with workflow and integration platforms (n8n, Zapier, Make, Temporal, or Airflow)
• Familiarity with cloud infrastructure on Google Cloud Platform (GCP), including Cloud Run, Cloud Functions, Vertex AI, Cloud Storage, and IAM, or comparable AWS or Azure infrastructure and tooling
• Demonstrated experience with AI Coding assistants. AI tools are heavily ingrained in Bestow culture
• Strong debugging skills; you can diagnose failures across prompts, integrations, APIs, and business logic
• Knowledge of data security practices relevant to AI (PII handling, HIPAA, SOC 2)
• Experience with BigQuery and advanced SQL for data analysis and pipeline integration
• Experience building CI/CD pipelines using tools such as Docker, CircleCI, git, etc
• Experience with LLM observability tools (LangSmith, Helicone, Braintrust) and MLOps practices
• Background in insurance, fintech, or other regulated industries