AI Automation Engineer
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Job Description
AI Automation Engineer driving efficiency through AI-powered solutions at Bestow. Building and scaling automation across internal operations with cutting-edge technologies.
Responsibilities:
- Identify, build, and scale AI-powered automation across Bestow's internal operations.
- 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.
- 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).
- 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.
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 have: Experience with LLM observability tools (LangSmith, Helicone, Braintrust) and MLOps practices.
- Nice to have: Background in insurance, fintech, or other regulated industries.
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
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