8 Token Optimization Jobs

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

As an AI Application Engineer, you will be responsible for designing and implementing enterprise-scale, public-facing AI applications. Your role will involve implementing advanced Retrieval Augmented Generation (RAG) architectures, optimizing systems for token usage and performance tuning, and developing autonomous agent frameworks using LangGraph or similar framework. You will also drive innovation in areas such as embedding techniques, contextual compression, and multi-agent systems. Collaboration with cross-functional teams, troubleshooting technical challenges, and mentoring junior developers will be key aspects of your role. Key Responsibilities: - Design, develop, and deploy enterprise...

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

Role Overview: At Quantum Gandiva AI, we are looking for a passionate AI Architect to architect data pipelines from scratch to production for our Autonomy Stack project. As a foundational team member, you will play a crucial role in building fast, reliable, and secure systems for self-improving AI agents. This is not your typical "entry-level" role, and we value your GitHub contributions, personal projects, and dedication to the field. Key Responsibilities: - Architect and scale the agentic platform, including memory management, orchestration, and evaluation frameworks - Develop multi-tenant memory systems with sophisticated recall and production-grade agent orchestration - Implement context...

LLM, Generative AI, Python, LLM frameworks, LangChain, Hugging Face, OpenAI SDK, vector databases, FAISS, Pinecone, Weaviate, AWS, Databricks, PySpark, SQL, Git, CI/CD pipelines, RAG architecture, prompt engineering, token optimization,AI frameworks

We are seeking an innovative and highly skilled AI Application Engineer to be a part of our team and contribute to the development of cutting-edge enterprise-scale, public-facing AI applications. In this role, you will have the exciting opportunity to shape the future of autonomous agent-based systems, with a focus on performance, scalability, and utilizing advanced technologies such as LLMs, embedding techniques, and agentic frameworks. As an AI Application Engineer, your responsibilities will include designing and implementing solutions that not only meet user expectations but also optimize system performance. This position requires a blend of technical expertise, creativity, and a dedicat...

We are seeking a creative and highly proficient AI Application Engineer to join our team and contribute to the development of cutting-edge enterprise-scale, public-facing AI applications. In this role, you will have the chance to influence the future generation of autonomous agent-based systems, with a focus on performance, scalability, and innovative technologies such as LLMs, embedding techniques, and agentic frameworks. As an AI Application Engineer, your primary responsibility will involve designing and implementing solutions that not only meet user expectations but also enhance system performance. This position demands a mix of profound technical expertise, ingenuity, and a dedication t...