Sr. Generative AI Developer (All W2 + H1b Transfers are workable)
Sign in to view the employer name
Share
Location
Job description
Sr. Generative AI Developer Irving, TX / Tampa, FL / Jersey City, NJ — Hybrid (3 Days Onsite/Week) Fulltime (Permanent)
Job Description:
Core Skills:
Key Responsibilities:
Job Description:
Core Skills:
- Generative AI & RAG: Generative AI, Retrieval-Augmented Generation (RAG), LLMs, prompt engineering, AI solution development, enterprise AI applications, model evaluation, LLM fine-tuning.
- Programming & API Development: Python, FastAPI, API development, scalable APIs, backend development, microservices.
- Architecture & System Design: System architecture, distributed systems, scalable platform design, secure architecture, performance optimization.
- Cloud Platforms: AWS, Azure, GCP, cloud-native deployments, cloud architecture.
- Vector Databases & Retrieval Pipelines: Embedding models, vector databases, semantic search, retrieval pipelines, knowledge base integration.
- Data Engineering & Processing: Data ingestion, preprocessing, data pipelines, large-scale data handling.
- Containerization & DevOps: Docker, Kubernetes, CI/CD pipelines, DevOps practices.
- Collaboration & Problem Solving: Cross-functional collaboration, troubleshooting, optimization, agile delivery.
Key Responsibilities:
- Architect and develop enterprise-scale Generative AI applications using RAG frameworks.
- Design scalable, secure, and high-performance AI platform architectures.
- Develop and optimize FastAPI-based APIs for AI integrations and workflows.
- Implement data ingestion, preprocessing, and retrieval pipelines for knowledge-driven AI systems.
- Integrate AI solutions into enterprise platforms and operational workflows.
- Deploy and manage AI applications on AWS, Azure, or GCP environments.
- Perform tuning and optimization for AI models, APIs, and distributed systems.
- Research and implement advancements in LLMs, RAG methodologies, and Generative AI technologies.