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Generative AI Engineer

Job

NeuroHire

Texas City, TX (In Person)

$71,804 Salary, Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/19/2026

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Job Description

About NeuroHire is building an AI-first SaaS platform that helps companies hire smarter using intelligent systems and real-world data. Generative AI is a key part of how we improve automation, candidate understanding, recruiter workflows, and decision-making across the platform. We're looking for a Generative AI Engineer who can build practical GenAI-powered features and turn LLM capabilities into reliable product experiences. If you enjoy working with modern AI systems and building things that actually go into production you'll fit right in. What You'll Work On Build and integrate Generative AI features into our SaaS platform Develop LLM-based workflows using prompting, embeddings, retrieval pipelines, and agents Work with text-heavy data such as resumes, job descriptions, and recruiter interactions Build AI-powered automation, search, recommendation, and content-generation systems Integrate AI APIs and models into backend services and product workflows Optimize prompts, response quality, latency, and cost efficiency Monitor AI system performance and improve reliability using real-world feedback Collaborate with product and engineering teams to ship AI-driven features Stay updated with modern GenAI tooling and best practices What We're Looking For 0-2 years of experience in software engineering, AI engineering, or related roles Strong proficiency in Python Experience working with LLMs, embeddings, and transformer-based models Familiarity with tools/frameworks like LangChain, LlamaIndex, or similar Experience integrating AI APIs into applications Understanding of vector databases and retrieval systems Strong problem-solving skills and product mindset Ability to build production-ready systems in a fast-paced environment Nice to Have (Not Required) Experience with RAG pipelines or AI agents Familiarity with cloud platforms (AWS, GCP, Azure) Exposure to fine-tuning or model optimization Experience in SaaS or product-based companies Understanding of prompt engineering and evaluation workflows
Pay:
$67,417.12 - $76,190.51 per year
Benefits:
401(k) matching Dental insurance Health insurance Vision insurance
Work Location:
In person

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