AI Engineer-AI/ML or LLM-Hybrid

Jobs via Dice
Plano, US
Hybrid

Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Elite Technical, is seeking the following. Apply via Dice today!

This position is hybrid , you will be required to work onsite in Plano 3 days per week. Final interview is an onsite interview in Plano TX.

Compensation -$ 43.00 per hour W2, $ 53.00 per hour C2C. No flexibility on rate.

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:

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)

Apply today for immediate consideration. I look forward to hearing from you .

Skills & Requirements

Technical Skills

Ai/mlLlmLlmopsLanggraphLangchainCrewaiPythonPyspark/sparkNo-sqlSql- postgresqlRedisDatabricksDelta lakeAzure cloudApi reliability patternsPrompt/model/config versioningTraceable run metadataRate limitingRetries/backoffCircuit breakersTimeoutsIdempotencyReplay/backfillCuriositySelf-learning abilityAiMlLlmObservabilityData pipelinesApi reliability

Level

senior

Posted

5/6/2026

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