Sr. AI Engineer, LLM & Generative AI
Overview
You own the design, build, and deployment of production-grade AI/ML solutions using Python, SQL, and modern AI frameworks. You join a team of engineers and data scientists, shipping LLM and Generative AI features that impact core business processes. You collaborate with product and infrastructure teams in a contract-to-hire role, 3 days onsite in Irving, TX. Your work directly improves model accuracy and system reliability from day one.
What You'll Do8
- 1Design and ship end-to-end AI/ML pipelines using Python and SQL within your first 90 days.
- 2Build and deploy LLM-based applications, including prompt engineering and fine-tuning.
- 3Develop APIs and services to integrate Generative AI models into production systems.
- 4Scale model serving and optimize inference performance using Kubernetes and Docker.
- 5Drive data quality and feature engineering efforts to improve model accuracy.
- 6Debug and resolve production issues related to model drift and system latency.
- 7Lead code reviews and mentor junior engineers on AI best practices.
- 8Collaborate with cross-functional teams to define requirements and deliver measurable outcomes.
Requirements8
- 13+ years of experience developing and deploying production AI/ML solutions.
- 2Hands-on experience with LLMs, Generative AI, and modern AI frameworks like PyTorch or TensorFlow.
- 3Expert in Python, SQL, and API development (REST, GraphQL).
- 4Production-level experience designing and building AI systems at scale.
- 5Strong understanding of software engineering principles and version control (Git).
- 6Proven ability to translate business problems into technical solutions.
- 7Experience with cloud platforms (AWS, Azure, or GCP) for AI workloads.
- 8Bachelor's degree in Computer Science, AI, or related field (or equivalent experience).
Salary Insight
$60 - $65k per year
Location
Required Skills
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