Generative AI Engineer - AIRLKLHV

Job Title: Generative AI Engineer

Location: USA / Canada (Remote / Hybrid)
Duration: Contract / Full-Time (Based on Engagement)

Overview

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy AI-powered applications leveraging large language models (LLMs) and advanced machine learning techniques. This role will play a key part in enabling enterprise-level AI adoption for automation, content generation, decision support, and enhanced user experiences.

The ideal candidate brings strong hands-on experience building production-grade AI solutions and integrating them into complex enterprise environments.

Responsibilities

• Design and develop applications powered by large language models for enterprise use cases
• Build and optimize retrieval-augmented generation (RAG) pipelines
• Integrate AI capabilities into existing enterprise systems and workflows
• Develop and maintain APIs and services enabling AI functionality
• Collaborate with cross-functional teams including data engineers and architects
• Optimize AI models for performance, scalability, and cost efficiency
• Implement monitoring, evaluation, and continuous improvement processes
• Stay up to date with emerging trends in generative AI technologies

Required Qualifications

• Strong experience with LLM frameworks (e.g., OpenAI, Hugging Face, or similar)
• Hands-on experience building and deploying AI/ML models in production
• Proficiency in Python and data science libraries
• Experience with vector databases and semantic search technologies
• Familiarity with cloud platforms and AI deployment pipelines
• Strong understanding of NLP and machine learning fundamentals
• Experience working in enterprise environments with complex data systems

Must-Have Skills

• Proven experience delivering production-level Generative AI applications
• Hands-on experience with RAG architectures, embeddings, and vector databases
• Ability to translate business requirements into scalable AI solutions
• Strong problem-solving and collaboration skills

Preferred Qualifications

• Experience with enterprise AI integrations and workflows
• Knowledge of MLOps practices and model lifecycle management
• Exposure to scalable system design and distributed computing

Work Environment

• Remote or Hybrid flexibility
• Collaborative, fast-paced, and innovation-driven environment

For more details reach at resumes@navitassols.com