GEN AI Developer

Job Summary

We are seeking a dynamic and innovative GEN AI Developer to lead the development and deployment of cutting-edge generative artificial intelligence solutions. In this role, you will harness the power of machine learning frameworks, natural language processing, and big data technologies to create intelligent systems that transform data into actionable insights. Your expertise will drive the design, training, and deployment of advanced AI models, ensuring they meet high standards of performance, scalability, and reliability. Join us to push the boundaries of artificial intelligence and shape the future of intelligent automation across diverse industries. Responsibilities

• 6-8 year of hands on Core AI/ML Foundations:
• Strong foundational knowledge in GenAI , Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including
• Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).
• Generative AI & LLM Expertise:
• Extensive hands-on experience with leading LLMs such as Google
• Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
• Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced
• RAG techniques and their detailed implementation.
• Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
• Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
• Hands-on experience with agentic framework-based use case implementation.
• Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.

Years of Exp: 6+ yrs

Location:Tampa, FL/ Mississauga

only USC/GC candidates pls apply

Pay: $110.00 - $130.00 per month

Experience:

• Generative AI: 7 years (Required)
• Natural language processing: 7 years (Preferred)

Work Location: Hybrid remote in Tampa, FL 33612