AI Founding Engineer

About Intervue.io: Intervue.io is revolutionizing the technical hiring landscape by providing an all-in-one platform that streamlines the interview process. Our mission is to empower companies to hire better and faster through standardized, scalable, and efficient technical interviews. With a growing presence in the India, US, and MENA regions, and a dynamic team based in HSR Layout, Bangalore, we're poised for our next phase of growth. As a seed-stage startup that has grown 4X year-over-year, we're looking for ambitious talent to join our journey. Designation: AI Founding Engineer Location: Bangalore, Onsite Key Responsibilities: Design, Train, and Fine-tune Models: Design, train, and fine-tune large-scale language models (LLMs) for specific use cases. Optimize Model Performance: Enhance model speed, accuracy, and cost-efficiency. Model Inference Pipelines: Implement and improve model inference pipelines for deployment. Research & Experimentation: Continuously research and experiment with state-of-the-art NLP techniques and architectures. APIs & Integration: Develop APIs and interfaces for integrating LLMs into products and applications. Collaboration: Work with cross-functional teams (product managers, data scientists, software engineers) to align AI capabilities with business objectives. Responsible AI Practices: Ensure ethical AI usage, mitigate biases, and adhere to responsible AI guidelines. Monitoring & Evaluation: Monitor model performance and continuously improve its robustness and efficiency. Benchmarking: Assess LLMs for hallucination rates, factual consistency, and response quality. Evaluation Frameworks: Develop and implement evaluation frameworks using custom metrics to measure model performance. Required Skills & Qualifications: Experience: Minimum of 5 years in the data science domain, ideally in a product-based company. LLM Expertise: Proven experience working with large language models like LLAMA, ChatGPT, Mistral, etc. RAG & Fine-tuning: Familiarity with retrieval-augmented generation (RAG) and fine-tuning large language models. Agentic Framework: Experience with agentic frameworks like Langchain, Langgraph, etc. Data Pipeline Knowledge: Strong understanding of data pipeline management. Technical Skills: Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch. Optimization & Deployment: Experience with model training, fine-tuning, optimization techniques, and deployment (Containerization). Additional Skills: Prompt engineering Parameter-efficient fine-tuning (LoRA, PEFT) Strong problem-solving and communication skills Ability to work in a fast-paced environment Bonus Skills: Frontend : React(SSR), Redux, Typescript Backend : Node, Express, Redis, Postgres Aws services like s3, lambda, cloud front, ec2, Eks knowledge in Infra(AWS, Docker, Kubernetes), Release Engineering, CI/CD, other tools and frameworks