We’re looking for a hands-on ML Lead to drive development of scalable, high-performance GenAI applications, particularly using LLMs , RAG architectures , and prompt engineering . If you thrive in an agile, ownership-driven environment and want to shape foundational systems, this is the role for you. What You’ll Do Lead the design and development of LLM-based applications , with a strong focus on prompt optimization , fine-tuning, and real-world usage. Architect and implement RAG pipelines using vector databases (e.g., FAISS, Pinecone) and retrieval frameworks (e.g., LangChain, LlamaIndex). Develop robust evaluation frameworks for prompt and model performance, including hallucination detection, latency, and relevance metrics. Own the end-to-end ML lifecycle : data pipelines, model experimentation, deployment, and monitoring. Work closely with founders, product managers, and engineers to align AI capabilities with core product needs. Mentor junior ML and data engineers, helping to grow a high-performing AI team. Stay at the forefront of GenAI research and rapidly evaluate and integrate new models and techniques. Key Skills & Qualifications Must-Have: Strong expertise in LLMs (e.g., OpenAI, Claude, Mistral, Llama, Falcon, Cohere). Deep knowledge of Prompt Engineering : prompt tuning, prompt chaining, and instruction design. Hands-on experience with RAG pipelines and tools like LangChain , Haystack , LlamaIndex . Proficient with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma). Advanced Python skills with ML libraries such as PyTorch , Transformers (Hugging Face) , and OpenAI API . Familiarity with MLOps and scalable model deployment practices (e.g., Docker, FastAPI, Streamlit, or Ray Serve). Strong grasp of NLP concepts, embeddings, tokenization, and evaluation metrics. Nice-to-Have: Experience in startups or building 0→1 AI products. Prior work with multimodal models (text + image/audio). Knowledge of data labeling, model safety, and fine-tuning. Why Join Us? Work directly with the founding team on GenAI core technology. Build real-world products that impact users daily.
Job Title
Machine Learning Specialist