# Automation and AI Enablement Engineer at FiberFirst

> United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Afiberfirst%3A5450134008 (read 2026-11-11).

## Facts (observed)

- Company: [FiberFirst](https://alderhq.app/companies/fiberfirst)
- Location text: Southlake, Texas; FiberFirst - Southlake
- Where it can be done from (inferred): United States (evidence: "Location: Southlake, Texas; FiberFirst - Southlake")
- Posted: 2026-11-05 (5 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/fiberfirst/jobs/5450134008
- Skills listed (inferred): Python, PostgreSQL, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Job Summary

The role owns existing production automations covering ticket intake and response, network self-service and conversational flows, and builds new ones, including AI-assisted workflows where they measurably outperform the alternative. This is a hands-on engineering role for someone who writes production code, integrates systems that were never designed to talk to each other, and instruments what they build so its performance is a measured fact rather than an impression. The role suits an engineer with sound judgment about when to automate, when to apply a model, and when to leave a working system alone.

### Location

- The role will be based on-site at the office in Southlake, TX.
### Employment Classification

- Exempt: Regular, Full-time
### Supervisory Responsibilities

### Duties / Responsibilities

- Build, operate, and improve production automations that process high-volume operational workflows end to end: intake, business rules, system of record updates, and outbound response.
- Take ownership of existing production automation, including established systems currently maintained by others, and bring them to a documented, monitored, and independently supportable standard.
- Design and build integrations across enterprise systems using REST APIs, webhooks, and direct database access, including systems with incomplete or inconsistent documentation.
- Build AI-assisted workflows such as retrieval, classification, summarization, and conversational automation, and define how each is evaluated before it reaches production.
- Instrument everything that ships: define success and failure explicitly, measure how often each occurs, and make the result visible without being asked.
- Extend and maintain conversational automation flows across voice and digital channels, and expand the set of customer issues resolved without an agent.
- Add reliability, alerting, and recovery to automated systems so failures are detected and surfaced rather than discovered later.
- Work with spatial and operational data in PostgreSQL/PostGIS and the enterprise analytics platform to support automated decisions.
- Write and maintain documentation, runbooks, and tests so that no automated process depends on a single person’s knowledge.
- Administer the Databricks platform alongside the current owner: workspace and compute configuration, Unity Catalog governance and access grants, job scheduling, and cost monitoring. Build enough depth that platform administration is not dependent on a single person.
- Partner with Customer Experience, Network Operations, and Engineering to identify high-volume manual work, quantify the opportunity, and deliver the automation.
- Apply sound judgment about where automation and AI belong, and say plainly when a proposed solution is not worth building.
- Perform other duties as assigned.
### Education and / or Experience

- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent demonstrated experience.
- Three or more years writing and maintaining production code, with automation, integration, or data engineering as a primary focus.
- Two or more years of AI enablement experience.
- Demonstrated experience owning a system in production, including responsibility for its failures.
- Hands-on experience building with large language models or applied machine learning in a production or near-production setting, including how the output was evaluated.
- Experience integrating third-party or vendor platforms via API required; experience with telecom, field service, CRM, or contact center platforms preferred.
### Required Skills / Abilities

- Strong proficiency in Python, including scheduled and long-running processes, error handling, and logging.
- Strong SQL, and comfort working directly in a relational database; PostgreSQL and spatial data (PostGIS) preferred.
- Practical command of REST APIs, authentication patterns, webhooks, and event-driven integration.
- Experience with large language model tooling: prompting, retrieval-augmented generation, structured output, and evaluation.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Afiberfirst%3A5450134008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.