Job Description & Details
The rise of generative AI is reshaping how businesses create content, automate workflows, and innovate products. Companies are racing to build cutting‑edge models that can understand and generate human‑like text, images, and code. This Gen AI Developer role in Irving, TX offers a chance to dive deep into this fast‑growing field and make an impact from day one.
Job Summary
We are looking for a Gen AI Developer to design, develop, and fine‑tune generative AI models. The role involves building end‑to‑end pipelines, integrating models into products, and collaborating with cross‑functional teams to deliver AI‑driven solutions.
Top 3 Critical Skills Table
| Skill | Why it's critical | Mastery Level |
|---|---|---|
| Generative AI Modeling | Core of the role; builds and fine‑tunes models that produce new content | Senior |
| Python Programming | Primary language for AI pipelines, data processing, and model deployment | Mid |
| Prompt Engineering | Enables effective interaction with large language models and improves output quality | Junior |
Interview Preparation
- Explain the end‑to‑end workflow for training a generative text model.
What the interviewer is looking for: Understanding of data collection, preprocessing, model architecture selection, training loops, evaluation metrics, and deployment. - How would you fine‑tune a pre‑trained LLM for a specific domain?
What the interviewer is looking for: Knowledge of transfer learning, dataset curation, hyper‑parameter tuning, and avoiding catastrophic forgetting. - Describe techniques you use to craft effective prompts for LLMs.
What the interviewer is looking for: Experience with prompt engineering, few‑shot prompting, temperature/temperature control, and prompt chaining. - What strategies do you employ to scale model inference for real‑time applications?
What the interviewer is looking for: Familiarity with model quantization, distillation, batching, GPU/TPU optimization, and serving frameworks like FastAPI or TorchServe. - Discuss ethical considerations when deploying generative AI.
What the interviewer is looking for: Awareness of bias mitigation, content moderation, data privacy, and responsible AI guidelines.
Resume Optimization
- Generative AI
- AI Developer
- Python
- Machine Learning
- Deep Learning
- Prompt Engineering
- Model Fine‑tuning
- Large Language Models (LLM)
- NLP
- TensorFlow/PyTorch
Application Strategy
When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your resume, and clearly highlight your top relevant skills. Make sure to mention related skills you possess, such as Generative AI Modeling, Python programming, and Prompt Engineering, and reference any projects where you built or fine‑tuned AI models.
Career Roadmap
| Current Role | Typical Experience | Core Focus | Next Position |
|---|---|---|---|
| Gen AI Developer | 2‑4 years in AI/ML, strong Python & LLM experience | Building and fine‑tuning generative models | Senior Gen AI Engineer |
| Senior Gen AI Engineer | 5‑7 years, leading projects, architecture design | End‑to‑end AI solutions, team mentorship | AI Lead / AI Architect |
| AI Lead / AI Architect | 8+ years, strategic AI vision, cross‑functional leadership | Driving AI strategy, scaling platforms | Director of AI / VP of Machine Learning |