Generative AI Engineer - AIRLKLHV

Generative AI Engineer - AIRLKLHV NavitasPartners - 4.0 Buffalo, NY Job Details Full-time | Contract From $40 an hour 1 day ago Qualifications Application deployment Scalable systems Databases Model deployment Application design Implementing APIs Natural language processing Scalability Data science Business requirements Machine learning libraries Senior level AI Cross-functional collaboration Machine learning frameworks Python MLOps Generative AI Cloud services Cross-functional communication

Full Job Description 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