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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaScriptTypeScriptLLM APIsprompt engineeringAPI integrationautomated evaluationsRAG architecturesvector databasesadvanced SQL

Soft Skills

communicationworkshop facilitationtrainingproblem-solvingdebugging