Senior GenAI Developer – Texas (Hybrid)

About the Role

Position Overview

We are seeking a Senior GenAI Developer with expertise in Prompt Engineering, RAG Architecture, AI-driven applications, and Language Models. This role requires a strong backend development background with hands-on experience in Node.js, JavaScript, or TypeScript.

As a Senior GenAI Developer, you will be at the forefront of implementing cutting-edge AI solutions, designing RAG architectures, and optimizing prompt engineering strategies to maximize the capabilities of language models in practical applications.

Your Impact

In this role, you will shape how AI is implemented and utilized across applications, ensuring optimal performance, accuracy, and ethical use of generative AI technologies. Your expertise will directly influence the effectiveness of our AI systems, enabling more intelligent, responsive, and contextually aware applications.

Important Notes

Work Arrangement: Hybrid (2-3 days onsite per week)

Location: Irving, TX area

Relocation: Must be willing to relocate to the DFW Area

Duration: 12+ Months

Key Responsibilities

• Design and implement RAG (Retrieval-Augmented Generation) architectures for AI applications
• Develop and optimize AI prompts and prompt engineering strategies for improved model responses
• Work with language models (LLMs) to fine-tune and integrate into applications
• Build and maintain scalable backend systems to support AI-driven features
• Implement APIs and microservices for seamless AI model integration
• Optimize and enhance GenAI pipelines for performance and efficiency
• Collaborate with cross-functional teams to integrate AI capabilities into various products
• Research and implement best practices for responsible AI development
• Document technical processes and maintain knowledge bases for AI systems
• Participate in code reviews and ensure code quality standards

Required Skills & Qualifications

Required Skills & Qualifications:

• Expertise in Prompt Engineering and AI Prompt Optimization
• Strong knowledge of RAG architecture and LLM fine-tuning
• Proficiency in Node.js, JavaScript, or TypeScript for backend development
• Experience with AI model deployment, APIs, and cloud-based AI services
• Experience in Data Modeling, SQL, and Data Pipelines
• Knowledge of Vector Databases, Embeddings, and AI-driven search
• Familiarity with MLOps, CI/CD for AI models, and performance optimization
• Ability to work in a hybrid environment (2-3 days onsite per week)
• Willingness to relocate to the Dallas-Fort Worth (DFW) area

Preferred Qualifications:

• Experience with OpenAI, Anthropic, or other leading commercial LLM providers
• Background in natural language processing (NLP) and computational linguistics
• Knowledge of semantic search and information retrieval techniques
• Experience with cloud platforms (AWS, Azure, GCP)
• Understanding of containerization and orchestration (Docker, Kubernetes)
• Experience with monitoring and observability for AI systems

Benefits & Perks

• Competitive compensation package
• Hybrid work arrangement (2-3 days onsite per week)
• Long-term contract opportunity (12+ months)
• Professional development and growth opportunities in AI
• Work with cutting-edge AI technologies
• Collaborative and innovative team environment
• Opportunity to shape the future of AI applications
• Regular feedback and performance reviews

About InnoHire Solutions

Join our team of AI innovators working on the cutting edge of generative AI technology. We are developing solutions that leverage the latest advancements in large language models, retrieval-augmented generation, and prompt engineering to solve complex business challenges.

Our approach combines technical excellence with practical business applications, ensuring that our AI solutions deliver real value. We maintain a culture of continuous learning and innovation, staying at the forefront of this rapidly evolving field.

Application Process

Our selection process includes:

1. Initial application review
2. Technical screening interview
3. Practical assessment of AI/prompt engineering skills
4. Technical panel interview
5. Final discussions
6. Offer and onboarding

Please note that this position requires relocation to the Dallas-Fort Worth area for hybrid work (2-3 days onsite per week) at our Irving, TX location.

Diversity & Inclusion

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Required Skills

Nice-to-Have Skills