AI Engineer (GenAI)

Responsibilities :

• Collaborate with product, engineering, and research teams to integrate GenAI capabilities into applications and services.
• Research, evaluate, and implement the latest advancements in generative AI and large language models (LLMs).
• Maintain and iterate on prompt engineering strategies to optimize model outputs.
• Participate in prompt tuning, RLHF, and benchmarking experiments for performance and accuracy.
• Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases.
• Design scalable, observable, and resilient generative AI pipelines for real-world applications.
• Monitor model performance and continuously improve efficiency, accuracy, and user experience.

Qualifications :

• Strong experience in deep learning and NLP, especially LLMs and generative models.
• Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs.
• Experience with prompt engineering, few-shot learning, and fine-tuning LLMs.
• Familiarity with ML Ops/LLMOps and distributed systems.
• Experience working with vector databases and RAG pipelines.
• Solid understanding of system design patterns, scalability, observability, and performance tuning.
• Strong analytical and problem-solving skills.
• Passion for exploring and building with emerging AI technologies.