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About NeuroHire is building an AI-first SaaS platform that helps companies hire smarter using intelligent systems and...

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Selected role

Generative AI Engineer

NeuroHire Texas City, TX, US

$67k - $76k Senior Full-time

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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