GENERATIVE AI ENGINEER

Job Description

About the Role

We are looking for a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using LLMs, Generative AI, RAG, and AI Agents. The role involves building intelligent solutions and integrating modern AI technologies into real-world applications.

Key Responsibilities

Develop and deploy Generative AI and LLM-based applications.
Build solutions using LLMs, RAG, AI Agents, and Prompt Engineering.
Integrate LLM APIs with business applications and external services.
Implement embeddings, vector databases, and knowledge retrieval systems.
Fine-tune and optimize AI models for specific use cases.
Develop AI chatbots, assistants, content generation, and automation solutions.
Evaluate model performance, accuracy, latency, and cost.
Deploy and monitor GenAI applications in production.
Collaborate with Data Scientists, ML Engineers, and Software Developers.

Experience

2–5 years of experience in Generative AI, AI/ML, NLP, or LLM development.
Hands-on experience building and deploying GenAI applications.

Required Skills

Strong knowledge of Python, LLMs, NLP, and Generative AI.
Experience with GPT, Llama, Gemini, Claude, or similar models.
Knowledge of RAG, LangChain/LangGraph, LlamaIndex, Vector Databases, and Prompt Engineering.
Understanding of Fine-tuning, Embeddings, APIs, and Function Calling.
Knowledge of AWS/Azure/GCP, Docker, and MLOps is a plus.
Strong problem-solving and communication skills.

Qualification

Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.