Job Title : AI / ML Engineer-Generative AI
Location : Bangalore / Pune
Experience : 2+ years
About the Role :
We are looking for an experienced AI / ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.
Key Responsibilities :
- Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment .
- Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.
- Develop and optimize ML models , leveraging classical and deep learning techniques.
- Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate .
- Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases.
- Develop data pipelines for training, validation, and inference.
- Work on scalable AI solutions , ensuring performance and cost efficiency in deployment.
- Collaborate with cross-functional teams to integrate AI models into production applications.
Required Skills & Qualifications :
2+ years of experience in AI / ML development.Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers .Hands-on experience with LLMs, GenAI, and RAG architectures .Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).Knowledge of ML algorithms , deep learning architectures, and NLP techniques.Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI / ML model deployment.Experience with LangChain or LlamaIndex for LLM applications is a plus.Strong problem-solving skills and the ability to work in a fast-paced environment.Nice-to-Have Skills :
Experience with multi-modal AI models (text, image, video).Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI).Familiarity with prompt engineering and fine-tuning strategies .Perks & Benefits :
Health and Wellness : Healthcare policy covering your family and parents.Food : Enjoy scrumptious buffet lunch at the office every day. (Bangalore)Hybrid work policy : Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.Professional Development : Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.Rewards and Recognitions : Recognition and rewards programs in place to celebrate your achievements and contributions.To find out more about us, head over to our Website and LinkedIn