Artificial Intelligence Engineer

1 week ago

Mumbai, India HiroJet Full time

Job Title: Gen AI Engineer Location: Mumbai (On-site) Experience: 0–3 years About the company We are a pioneering artificial intelligence company that has developed its own Large Language Model (LLM) to power enterprise intelligence and automation at scale. Our mission is to redefine how businesses interact with data — transforming static information into dynamic, decision-ready insights. We’re not just building tools; we’re building the future of intelligent systems. Role Overview We’re looking for a Gen AI Engineer who is passionate about developing, fine-tuning, and deploying advanced generative AI systems. You’ll work closely with our product, data, and engineering teams to enhance our proprietary LLM capabilities and build intelligent applications around it. This is a hands-on role ideal for someone who thrives at the intersection of research, applied AI engineering, and problem-solving. Key Responsibilities Develop and fine-tune LLMs and multimodal AI models for domain-specific applications. Design and implement prompt engineering, retrieval-augmented generation (RAG), and knowledge grounding pipelines. Collaborate with backend and ML teams to integrate GenAI models into production systems. Experiment with open-source models (Llama, Mistral, Falcon, etc.) and evaluate them for internal use cases. Build and optimize data pipelines for training and inference. Work with vector databases (Pinecone, FAISS, Weaviate) and embedding frameworks. Monitor and improve model performance, scalability, and latency in live environments. Contribute to AI safety, compliance , and ethical model usage frameworks. Required Skills & Experience 0–3 years of hands-on experience in Machine Learning, NLP, or Generative AI development. Strong proficiency in Python, PyTorch/TensorFlow, and LangChain/LlamaIndex. Solid understanding of transformer architectures, tokenization, and embedding models. Experience working with LLM APIs (OpenAI, Anthropic, our own LLM, etc.). Proficiency in deploying models using Docker, FastAPI, or similar frameworks. Good grasp of cloud platforms (AWS, GCP, Azure) for AI workloads. Demonstrated problem-solving skills and a strong product-focused mindset. Proven participation and success in Hackathons or AI/ML competitions. Good to Have Experience building AI copilots, chatbots, or enterprise automation systems. Familiarity with fine-tuning methods (LoRA, QLoRA, PEFT). Knowledge of MLOps and continuous training pipelines. Exposure to vector search and knowledge graph systems. Why us? Work directly on a homegrown LLM powering enterprise intelligence. Collaborate with a team of AI innovators and full-stack problem-solvers. Be part of a fast-scaling company building real-world, high-impact AI systems. Enjoy a learning-driven environment, competitive compensation, and rapid growth opportunities. If you are interested please apply at -

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