Data Science with Gen AI

Texas City, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Generative AI Engineer

Location: Fort Worth Texas

Domain: Transportation

Duration: Long Term Contract

Looking for W2 Candidates. No C2C

Responsibilities:

Architect develop and optimize generative AI models including large language models (LLMs) for diverse enterprise use cases.
Research and prototype advanced generative AI techniques (e.g. transformers diffusion models RAG LoRA).
Collaborate with data scientists MLOps teams and product stakeholders to align generative AI initiatives with business objectives.
Implement fine-tuning prompt engineering and model distillation techniques for performance optimization.
Integrate generative models into real-time applications and large-scale production pipelines.
Drive the evaluation of open-source and commercial LLMs for cost performance and compliance.
Create reusable components and APIs for LLM access tool use agentic orchestration and generative tasks.
Ensure fairness interpretability and safety across all deployed GenAI applications.

Qualifications:

10 years of experience in AI/ML; 3 years in building generative AI systems.
Hands-on experience with Hugging Face Transformers LangChain OpenAI APIs and vector DBs like Pinecone or FAISS.
Strong Python programming including experience with PyTorch or TensorFlow.
Solid understanding of agentic frameworks (CrewAI LangGraph) and orchestration tools.
Prior deployment experience on cloud platforms such as Azure AWS or GCP.
Knowledge of containerization (Docker Kubernetes) and model lifecycle management (MLflow Weights & Biases).
Familiarity with responsible AI prompt injection mitigation and safe model usage principles.

Thanks& Regards

Job Title: Generative AI Engineer Location: Fort Worth Texas Domain: Transportation Duration: Long Term Contract Looking for W2 Candidates. No C2C Responsibilities: Architect develop and optimize generative AI models including large language models (LLMs) for diverse enterprise use cases. Resea...