Gnani.ai - AI/ML Engineer

Job Description : We are looking for a highly motivated AI/ML Engineer with strong interest and hands-on experience in Generative AI, Large Language Models (LLMs), and intelligent AI-powered applications. The ideal candidate should possess strong foundations in Machine Learning, NLP, Python development, and modern AI frameworks while working on real-world enterprise AI systems. This role offers an opportunity to work on cutting-edge LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and scalable Generative AI platforms used in enterprise workflows. Candidates should have strong problem-solving skills, passion for AI innovation, and the ability to work in fast-paced research and engineering environments. Key Responsibilities : - Develop and support AI/ML solutions focused on Generative AI and Large Language Models (LLMs). - Work on AI-powered enterprise applications including chatbots, AI assistants, automation workflows, and intelligent search systems. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines and prompt engineering workflows. - Support development of agentic AI systems, tool-calling frameworks, and multi-step reasoning workflows. - Fine-tune, evaluate, and optimize LLM models for enterprise use cases. - Collaborate with senior AI engineers, architects, and product teams to deliver scalable AI solutions. - Develop backend APIs and AI integration services for enterprise applications. - Work on vector databases, embeddings, semantic search, and AI orchestration frameworks. - Participate in model evaluation, experimentation, benchmarking, and AI performance optimization. - Ensure scalability, reliability, security, and performance of AI applications. - Stay updated with latest advancements in Generative AI, LLMs, NLP, and AI frameworks. - Contribute to AI research initiatives, proof-of-concepts, and innovation projects. Required Skills : - 2- 4 years of experience in AI/ML Engineering, Machine Learning, or Backend AI development. - Strong hands-on experience in Python programming. - Good understanding of Machine Learning, NLP, and Generative AI concepts. - Experience working with LLMs, prompt engineering, and AI APIs. - Knowledge of RAG pipelines, embeddings, vector databases, and semantic search concepts. - Familiarity with frameworks such as LangChain, LlamaIndex, Hugging Face, or similar AI ecosystems. - Experience building REST APIs and backend services. - Knowledge of SQL/NoSQL databases and data processing workflows. - Strong analytical, debugging, and problem-solving capabilities. - Good communication and collaboration skills. Good to Have Skills : - Exposure to Agentic AI systems and AI workflow orchestration. - Experience with cloud platforms such as AWS, Azure, or GCP. - Exposure to Docker, Kubernetes, or MLOps workflows. - Experience working on voice-based AI or real-time AI applications. - Knowledge of fine-tuning, evaluation frameworks, and AI observability tools. - Contributions to AI research, hackathons, or open-source projects. Preferred Candidate Profile : - Passionate about Generative AI and emerging AI technologies. - Strong learning mindset with ability to adapt to evolving AI ecosystems. - Ability to work in collaborative and research-driven engineering teams. - Strong ownership mindset and execution capabilities. - Enthusiastic about building scalable AI products for real-world enterprise use cases Job Description : We are looking for a highly motivated AI/ML Engineer with strong interest and hands-on experience in Generative AI, Large Language Models (LLMs), and intelligent AI-powered applications. The ideal candidate should possess strong foundations in Machine Learning, NLP, Python development, and modern AI frameworks while working on real-world enterprise AI systems. This role offers an opportunity to work on cutting-edge LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and scalable Generative AI platforms used in enterprise workflows. Candidates should have strong problem-solving skills, passion for AI innovation, and the ability to work in fast-paced research and engineering environments. Key Responsibilities : - Develop and support AI/ML solutions focused on Generative AI and Large Language Models (LLMs). - Work on AI-powered enterprise applications including chatbots, AI assistants, automation workflows, and intelligent search systems. - Build and optimize Retrieval-Augmented Generation (RAG) pipelines and prompt engineering workflows. - Support development of agentic AI systems, tool-calling frameworks, and multi-step reasoning workflows. - Fine-tune, evaluate, and optimize LLM models for enterprise use cases. - Collaborate with senior AI engineers, architects, and product teams to deliver scalable AI solutions. - Develop backend APIs and AI integration services for enterprise applications. - Work on vector databases, embeddings, se