Location: Delhi NCR Role Type: Full-time Stage: Early-stage tech startup working on AI-powered enterprise workflows About the role: We are looking for an AI/ML Engineer with 2–3 years of experience to help build and scale intelligent automation tools for enterprise use-cases. You will work on end-to-end development of AI systems — from experimentation to production deployment — and contribute to core engineering decisions as part of a small, fast-moving team. Responsibilities: Build and optimize LLM-powered features, agents, and APIs. Develop robust data processing and extraction pipelines for unstructured documents. Work with embeddings, vector databases, RAG, and model evaluation frameworks. Contribute to backend and infrastructure components of ML systems. Collaborate closely with the founder to iterate rapidly on product features. Own prototypes from idea → PoC → production. Requirements: 2–3 years of experience in Machine Learning, GenAI, or ML Engineering. Strong proficiency in Python and experience with PyTorch/TensorFlow or LLM frameworks. Hands-on work with LLM APIs, vector stores, RAG, or agentic frameworks. Good understanding of data structures, algorithms, and system design fundamentals. Ability to ship fast in a startup environment with ownership and autonomy. Nice to Have: Experience with OCR, PDF parsing, or unstructured text pipelines. Exposure to model fine-tuning or evaluation. Experience with cloud platforms (AWS/GCP/Azure). Interest in enterprise automation or workflow engineering. What we offer Competitive compensation. High ownership role working directly with the founder. Opportunity to shape the technical direction of the product. Access to state-of-the-art AI tools and a culture built around experimentation.
Location:Delhi NCR Role Type:Full-time Stage:Early-stage tech startup working on AI-powered enterprise workflows About the role: We are looking for an AI/ML Engineer with 23 years of experience to help build and scale intelligent automation tools for enterprise use-cases. You will work on end-to-end development of AI systems from experimentation to production deployment and contribute to core engineering decisions as part of a small, fast-moving team. Responsibilities: Build and optimizeLLM-powered features, agents, and APIs. Develop robustdata processing and extraction pipelinesfor unstructured documents. Work with embeddings, vector databases, RAG, and model evaluation frameworks. Contribute to backend and infrastructure components of ML systems. Collaborate closely with the founder to iterate rapidly on product features. Own prototypes from idea ? PoC ? production. Requirements: 23 years of experience inMachine Learning, GenAI, or ML Engineering. Strong proficiency inPythonand experience with PyTorch/TensorFlow or LLM frameworks. Hands-on work withLLM APIs, vector stores, RAG, or agentic frameworks. Good understanding of data structures, algorithms, and system design fundamentals. Ability to ship fast in a startup environment with ownership and autonomy. Nice to Have: Experience with OCR, PDF parsing, or unstructured text pipelines. Exposure to model fine-tuning or evaluation. Experience with cloud platforms (AWS/GCP/Azure). Interest in enterprise automation or workflow engineering. What we offer Competitive compensation. High ownership role working directly with the founder. Opportunity to shape the technical direction of the product. Access to state-of-the-art AI tools and a culture built around experimentation.