TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-AugmentedGeneration) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of More ❯
TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-AugmentedGeneration) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of More ❯
for someone who wants to be part of a founding team. The Role: Develop and deploy LLM-based solutions tailored to specific business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training … hands-on experience with LLMs Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmentedgeneration systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of More ❯
intelligence operations Design and architect multi-agent systems that can perform complex OSINT investigations autonomously Build agentic workflows using frameworks like LangChain, AutoGPT, CrewAI, n8n, or custom solutions Architect RAG systems that enable agents to access and reason over vast intelligence databases Design agent orchestration systems that coordinate multiple AI agents for complex investigative tasks Implement human-in-the-loop … and agent communication protocols Proficiency in advanced prompt engineering and chain-of-thought reasoning techniques Experience with function calling, tool use, and plugin architectures for LLMs Deep understanding of RAG architectures, vector databases, and semantic search Expert in Python and modern AI/ML frameworks Understanding of OSINT methodologies and intelligence analysis workflows Experience translating complex human workflows into automated More ❯