We are seeking a highly skilled Gen AI Engineer to design, develop, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate will have hands-on experience building production-ready Generative AI applications, integrating enterprise data sources, optimizing model performance, and deploying scalable AI solutions on cloud platforms.
Key Responsibilities
- Design, develop, and deploy Generative AI applications using LLMs and foundation models.
- Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
- Develop Agentic AI and Multi-Agent workflows using up-to-date orchestration frameworks.
- Fine-tune and optimize open-source and commercial LLMs.
- Design semantic search solutions using embeddings and vector databases.
- Develop scalable APIs and AI microservices using Python frameworks.
- Integrate LLMs with enterprise tools, databases, and business applications.
- Optimize AI models for latency, accuracy, scalability, and cost efficiency.
- Deploy AI solutions on cloud platforms such as AWS and GCP.
- Collaborate with Data Scientists, Product Teams, and Software Engineers to deliver AI-powered business solutions.
- Ensure responsible AI practices, model governance,
and explainability.
- Document architecture, workflows, and engineering decisions.
Mandatory Skills
1. Generative AI
- Large Language Models (LLMs)
- Generative AI
- Prompt Engineering
- Fine-Tuning
- Foundation Models
2. Agentic AI
- Agentic AI
- AI Agents
- Multi-Agent Systems
- Tool Calling
- Function Calling
- Workflow Orchestration