Generative AI Engineer

About the job

As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. You’ll be responsible for building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications. Responsibilities • Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex. • Design and implement RAG pipelines using vector databases (Azure Cognitive Search, Pinecone, FAISS, Weaviate). • Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models. • Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions. • Collaborate with cross-functional teams to identify and operationalize GenAI use cases. • Implement monitoring, evaluation, and prompt optimization workflows. • Manage prompt engineering, model selection, and performance tracking in production.

Requirements

• Generative AI
• Large Language Models
• Cloud-Based Infrastructure
• RAG Systems
• Data Analytics

Qualifications

• Bachelor's degree or higher in relevant field
• 3-8 years of work experience in AI Engineering

Preferred Technologies

• Generative AI
• Large Language Models
• Cloud-Based Infrastructure
• RAG Systems
• Data Analytics

About the company

Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that have consistently driven measurable ROI for our clients. With a global footprint spanning 30+ countries, Straive serves hundreds of clients, supported by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations. Our offices are strategically located across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters is based.