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Gen AI Engineer
Job Location:
Job Location:
Irving, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
5 June 2026 (30+ days ago)
Posted:
Application Deadline:
2 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Gen AI Engineer
Location: Irving TX
Experience: 2-4 Years
Job Summary
We are seeking a passionate Gen AI Engineer with hands-on experience in Python development Generative AI technologies and AI-powered application development. The ideal candidate will have experience building AI workflows developing APIs implementing RAG architectures and working with modern GenAI frameworks such as LangChain Hugging Face and LlamaIndex.
This role offers an opportunity to work on cutting-edge AI solutions including LLM-powered applications Agentic AI workflows and enterprise AI deployments.
Required Skills
- Strong hands-on programming experience in:
- Python
- Experience developing APIs using:
- FastAPI
- Flask
- Hands-on experience in:
- Data Processing
- AI-enabled workflows
- Backend application development
- Strong understanding of:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI concepts
- Hybrid Prompting techniques
- Experience with Generative AI frameworks and tools:
- LangChain
- Hugging Face
- LlamaIndex
- Knowledge of:
- Git version control
- AI application testing and debugging
- Software development best practices
Preferred Skills
- Experience working with:
- Gemini LLM
- Google AI ecosystem
- Knowledge of machine learning frameworks:
- PyTorch
- TensorFlow
- Keras
- Understanding of:
- Natural Language Processing (NLP)
- Model deployment
- Docker containerization
- Awareness of:
- Responsible AI principles
- Data privacy
- AI governance and compliance
Key Responsibilities
- Design develop and maintain AI-powered applications and workflows
- Build and optimize Prompt Engineering strategies for LLM-based solutions
- Develop and integrate RAG-based architectures and Agentic AI workflows
- Create and maintain APIs using FastAPI and Flask frameworks
- Deploy monitor and maintain AI models across development testing and production environments
- Perform code reviews testing debugging and technical documentation
- Collaborate with cross-functional teams to deliver scalable AI solutions
- Continuously evaluate emerging Generative AI technologies frameworks and best practices
- Ensure adherence to security compliance and Responsible AI guidelines
