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




Robust 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.
Robust analytical and problem-solving skills.
Passion for exploring and building with emerging AI technologies.

📌 Ai Engineer Genai Hyderabad (India)
🏢 Anblicks Solutions
📍 India