FridayAI is building the next-generation AI analytics platform, empowering businesses with cutting-edge generative AI solutions for data analysis and decision-making. We are on a mission to redefine how enterprises interact with data by integrating AI-driven insights seamlessly into their workflows.
We are looking for a Generative AI Engineer to design, develop, and optimize AI models for enterprise-grade applications. You will work on building and fine-tuning LLMs, developing AI-driven analytics tools, and integrating generative AI into our platform. This role is ideal for someone passionate about pushing the boundaries of AI to solve real-world business problems.
Selected intern's day-to-day responsibilities include:
1. Design and develop generative AI models for structured and unstructured data processing.
2. Fine-tune and optimize large language models (LLMs) to improve performance on enterprise analytics tasks.
3. Build and maintain AI pipelines for training, inference, and deployment.
4. Develop AI-driven insights and automation features for the FridayAI platform.
5. Work with engineering teams to integrate generative AI into enterprise applications.
6. Research and implement state-of-the-art techniques in NLP, multimodal AI, and retrieval-augmented generation (RAG).
7. Optimize model efficiency and scalability for real-time applications.
8. Collaborate with product and design teams to ensure AI solutions align with user needs.
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 11th Feb'25 and 18th Mar'25
3. are available for duration of 6 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
1. Hold a bachelor's or master's in computer science, AI, machine learning, or a related field.
2. Have strong experience with LLMs (GPT, Llama, Claude, Mistral, etc.) and fine-tuning techniques.
3. Proficiency in Python, TensorFlow, PyTorch, or JAX for AI model development.
4. Possess experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG-based systems.
5. Have hands-on experience with AI model deployment (AWS, GCP, Azure, etc.).
6. Demonstrate a strong understanding of transformer architectures, diffusion models, and reinforcement learning.
7. Bring experience with prompt engineering, retrieval-based models, and knowledge graphs (a plus).
8. Adapt to work in a fast-paced startup environment and solve complex AI challenges.
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 500000 to 1000000 /year
Renan is an AI consultancy organization that offers data annotation and LLM fine-tuning services across over 50 languages.
