AI Automation Engineer

Bestow • Dallas, TX

1d • Remote

About The Position

Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation. The AI Automation team is Bestow's internal function dedicated to how the business operates. We embed AI into the workflows of engineering, product, sales, legal, finance, and other parts of the business to eliminate process friction and drive measurable efficiency gains. We work cross-functionally to identify high-friction processes, rapidly prototype LLM-powered solutions, and harden them into production-grade systems that drive measurable business impact. The team partners closely with business operations, data science, data engineering, and product teams to translate research and operational intelligence into tools that achieve organic adoption. You'll be expected to move fast, build pragmatically, and treat AI not just as a technology but as a lever for redesigning how work gets done across the organization. As an AI Automation Engineer, you will identify, build, and scale AI-powered automation across Bestow's internal operations, serving as a catalyst for practical innovation that frees teams to focus on strategic and creative work.

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.

Nice To Haves

• Experience with LLM observability tools (LangSmith, Helicone, Braintrust) and MLOps practices.
• Background in insurance, fintech, or other regulated industries.

Responsibilities

• Build & Scale 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.

Benefits

• Competitive salary and equity based on role
• Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
• 100% paid-premium option for medical, dental, and vision insurance
• Lifestyle stipend to support your physical, emotional, and financial wellbeing
• Flexible work-from-home policy and open to remote
• Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
• Employee-led diversity, equity, and inclusion initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed