AI Engineer

Elite Technical; Plano (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Elite Technical is seeking an AI Engineer to join our Plano team to build and maintain an LLM evaluation framework, focusing on non-deterministic outputs and observability. You will design tool-calling capabilities and integrate agent skills into data pipelines while ensuring reliability and auditability.

Ideal candidates have hands-on Python, PySpark, databases (MongoDB, PostgreSQL, Redis), Databricks/Delta Lake, and Azure Cloud experience, with a passion for GenAI and scalable production

Qualifications

• Productionizing AI/ML or LLM powered workflows with reliability and auditability.
• LLMOps fundamentals including versioning and traceable run metadata.
• Proficiency in Python, PySpark, NoSQL/SQL databases, and cloud services.
• Self-driven learning in GenAI with rapid iteration to production.
• Experience with model call reliability patterns (rate limiting, retries, circuit breakers, timeouts).

Responsibilities

• Build and maintain an LLM evaluation framework with datasets and scoring thresholds.
• Add observability for LLM pipelines including logs, metrics, dashboards, and cost tracking.
• Design and integrate tool-calling/agent skills into data pipelines or services.

Skills

AI/ML productionizing

LLMOps

Python

PySpark

MongoDB

PostgreSQL

Redis

Databricks

Delta Lake

Azure Cloud

GenAI curiosity

Tools

LangGraph

LangChain

CrewAI

Job description

AI Engineer

Our Client, a multinational telecommunications technology company has an urgent and immediate need for AI Engineers to work onsite 3 days per week in their Plano, TX office.

Responsibilities:

• Build and maintain an LLM evaluation framework (golden datasets, regression tests, scoring/rubrics, quality thresholds, trend tracking) for non-deterministic outputs
• Implement observability for LLM pipelines, including structured logging, metrics, dashboards, alerting, latency breakdown, error taxonomy, and token/cost tracking
• Design and integrate tool-calling / agent skills (function calling, tool interfaces, input/output schemas, guardrails, structured outputs) into data pipelines or services

Required Skills Required Skills:

• Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
• Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
• Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Demonstrated curiosity and self-learning ability in fast-evolving GenAI industry; able to iterate quickly and then harden solutions for production
• Experience with API reliability patterns relevant to model calls (rate limiting, retries/backoff, circuit breakers, timeouts, idempotency, replay/backfill)