Senior Generative AI Developer
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Job Location:
Irving, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Greetings Fulltime Permenant Job Opening
Role: Senior Generative AI Developer
Location: Irving TX / Tampa FL/ Jersey City NJ (3 Days onsite/
Location: Irving TX / Tampa FL/ Jersey City NJ (3 Days onsite/
Job Description:
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions
leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in
Python programming FastAPI and cloud platforms (AWS Azure or GCP). This role requires a deep understanding
of system architecture design scalable APIs and end-to-end AI solution development.
Key Responsibilities:
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability security and
performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion preprocessing and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS Azure or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI LLMs and RAG methodologies.
Required Skills & Qualifications
8 years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS Azure GCP).
Familiarity with vector databases embedding models and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications
Experience with LLM fine-tuning prompt engineering and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Key Skills
- APIs
- REST
- Spring
- SOAP
- .NET
- React
- Node.js
- Angular
- J2EE
- JavaScript
- Web Services
- Java
