Title : AIML GENAI Agentic AI Engineer
Job Type : Full Time
Years of Exp : 7+
Location : Pune/ Indore/ Bangalore/ Kolkata
NP : Immediate Joiner / 15 Days Joiner.
Key Responsibilities:
- Design, develop, and deploy scalable machine learning and Generative AI models (e.g., LLMs, GPT, BERT, Stable Diffusion).
- Fine-tune and optimize pre-trained large language models for specific tasks and domains.
- Build end-to-end GenAI pipelines for applications like text generation, summarization, question-answering, image generation, code generation, etc.
- Work with Prompt Engineering and Retrieval Augmented Generation (RAG) techniques to enhance model performance.
- Collaborate with cross-functional teams (product, engineering, data) to identify AI use cases and deliver business-focused AI solutions.
- Integrate GenAI models into production environments using APIs and scalable frameworks (e.g., LangChain, LlamaIndex, HuggingFace).
- Continuously evaluate and improve model performance using metrics, feedback loops, and human-in-the-loop approaches.
- Keep up to date with the latest research in Generative AI and apply relevant advancements in projects.
Required Skills & Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
- 5+ years of experience in AI/ML and hands-on exposure to Generative AI technologies.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Transformers (HuggingFace).
- Experience working with LLMs (e.g., GPT, LLaMA, Claude, Falcon) and tools like LangChain, OpenAI API, or similar.
- Good understanding of NLP, NLU, and prompt engineering.
- Experience in fine-tuning models and building RAG-based architectures.
- Familiarity with MLOps concepts, model versioning, and deployment (Docker, FastAPI, Kubernetes is a plus).
- Exposure to cloud platforms like AWS, Azure, or GCP for model hosting.
Preferred (Nice to Have):
- Experience with diffusion models (e.g., Stable Diffusion, DALL·E) for image or media generation.
- Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) for RAG systems.
- Experience working in Agile teams and with version control (Git).
Role Type:
- IC (Individual Contributor) or Lead based on experience
- Reporting To: AI/ML Lead or Data Science Manager