Job Title: Generative AI Engineer (Part-Time – 1 Hour Daily) Company: Remotohire Location: Pune, India (Remote) Job Type: Part-time · Senior Level · 1 Hour Daily About Remotohire Remotohire empowers companies to build agile, future-ready remote tech teams. We specialize in talent placement and development in cutting-edge areas like Generative AI, Full-Stack Development, and Cloud Engineering. Role Overview We’re looking for a Generative AI Engineer to work part-time with our engineering and product teams. This role is ideal for an AI enthusiast who wants to contribute to real-world applications of LLMs, AI Agents, and GenAI APIs in a high-impact but low-time-commitment setting — just 1 hour per day. Key Responsibilities Design, develop, and integrate Generative AI models (e.g., GPT, Claude, LLaMA) into web or business applications. Work with APIs like OpenAI, Cohere, Hugging Face, and fine-tune or prompt engineer LLMs for specific tasks. Implement RAG pipelines, vector search using FAISS/Pinecone/Weaviate, and handle embeddings efficiently. Develop AI Agents and workflows using LangChain, LlamaIndex, or custom pipelines. Collaborate with developers and product leads to shape user-facing GenAI features. Debug, test, and improve model performance using real-world feedback. Required Skills 2–5 years of hands-on experience with AI/ML, including recent experience with Generative AI or LLMs. Proficiency in Python, and experience using frameworks like Transformers, LangChain, or OpenAI SDK. Experience with prompt engineering, token management, model response control, and AI integration into applications. Understanding of vector databases, embeddings, and document parsing pipelines. Strong problem-solving and communication skills to deliver value in short time slots. Nice to Have Experience with multi-agent systems, tool use (e.g., Agents + Tools), or task orchestration. Familiarity with Gradio, Streamlit, Flask, or other rapid prototyping tools. Knowledge of cloud deployment (AWS, Azure, or GCP) and API security. Exposure to MLOps or AI productization in production environments. Engagement Details Time: 1 hour daily (Monday to Friday) Remote: Fully flexible and asynchronous (preferred daily check-in time) Compensation: Monthly retainer based on experience and project needs What We Offer Flexible remote work with minimal time commitment. Chance to build real-world GenAI features from ideation to implementation. Work with a talented, fast-moving development team. Long-term potential and involvement in cutting-edge AI projects. How to Apply Apply on LinkedIn with your resume