Generative AI Engineer (3-8 Years Experience)
Internshala
About the job
Description
About the Role
Our client is looking for a skilled Senior Generative AI Engineer with 38 years of hands-on experience in building, fine-tuning, and deploying generative models. The ideal candidate will have strong expertise in large language models (LLMs), prompt engineering, and scalable AI systems, along with a solid understanding of modern GenAI frameworks and tools.
Key Responsibilities
- Design, develop, and deploy generative AI solutions using LLMs and foundation models
- Build and optimize applications leveraging text, image, or multimodal generation
- Develop and refine prompts, chains, and agents for high-quality outputs
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
- Fine-tune pre-trained models for domain-specific use cases
- Integrate AI models into production using APIs, microservices, or cloud platforms
- Collaborate with cross-functional teams to deliver AI-driven products
- Monitor model outputs, improve performance, and ensure responsible AI usage
- Stay updated with the latest advancements in Generative AI and LLM ecosystems
Required Skills & Qualifications
- Bachelors or Masters degree in Computer Science, AI, Data Science, or related field
- 38 years of experience in AI/ML with exposure to Generative AI projects
- Strong programming skills in Python (mandatory)
- Hands-on experience with LLMs such as GPT, LLaMA, Claude, or similar models
- Experience with frameworks/tools like LangChain, LlamaIndex, Hugging FaceSolid understanding of:
- Generative AI concepts
- Prompt Engineering techniques
- Transformers architecture
- Experience working with vector databases (FAISS, Pinecone, Weaviate, etc.)
- Familiarity with APIs, embeddings, and semantic search
- Experience in deploying models using REST APIs, Docker, or cloud services
Preferred Qualifications
- Experience with cloud platforms like AWS (Bedrock, SageMaker), Azure OpenAI, Google Vertex AI
- Knowledge of LLMOps / MLOps tools
- Experience with multimodal AI (text, image, audio)
- Familiarity with fine-tuning techniques (LoRA, PEFT, etc.)
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