8 Llms Integration Jobs

As a backend developer, you will be responsible for integrating open-source LLMs and vector databases in offline or edge environments. Your role will involve developing core APIs and infrastructure to support embedding pipelines, retrieval-augmented generation (RAG), and LLM inference on local or mobile hardware. **Key Responsibilities:** - Design and implement backend services that interface with local LLMs and vector databases - Develop APIs to support prompt engineering, retrieval, and inference - Integrate embedding models (e.g., BGE, MiniLM) and manage chunking/processing pipelines - Optimize performance for offline or constrained environments (mobile, embedded devices, etc.) - Package ...

As a skilled Python Developer at the Customer Content Services (CCS) team in Pune, India, you will play a crucial role in developing and maintaining Python-based applications, integrating LLMs and AI-powered solutions. Your collaboration with cross-functional teams will ensure that requirements are translated into effective data-driven solutions. Your responsibilities will include assisting in the development, testing, and optimization of AI-driven features, optimizing performance and scalability utilizing LLMs, debugging and resolving Python application errors, conducting exploratory data analysis, and data cleaning. Additionally, you will optimize and maintain data storage and retrieval sy...

As a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management, you have the opportunity to impact your career and provide an adventure where you can push the limits of what's possible. You are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. - **Job Responsibilities:** - Works closely with software engineers, product managers, and other stakeholders to defin...

As an experienced candidate in the field of AI/ML with expertise in Generative AI / LLM architecture, you are expected to possess the following skills and experience: Role Overview: You should have a total of 12-15 years of overall experience, with a significant focus of 5-7 years in AI/ML and at least 3 years in Generative AI / LLM architecture. Your role will involve hands-on experience with RAG pipelines, vector search, and semantic retrieval. Additionally, you will be responsible for integrating LLMs from various providers such as OpenAI, Claude, Gemini, Mistral, etc., utilizing frameworks like LangChain, LlamaIndex, or PromptFlow. A deep understanding of MCP servers configuration, conte...

As a backend developer, you will focus on integrating open-source LLMs (e.g., Mistral, LLaMA) and vector databases (like FAISS, Qdrant, Weaviate, Milvus) in offline or edge environments. Your role involves developing core APIs and infrastructure to support embedding pipelines, retrieval-augmented generation (RAG), and LLM inference on local or mobile hardware. **Key Responsibilities:** - Design and implement backend services that interface with local LLMs and vector databases - Develop APIs to support prompt engineering, retrieval, and inference - Integrate embedding models (e.g., BGE, MiniLM) and manage chunking/processing pipelines - Optimize performance for offline or constrained environm...

We are seeking a backend developer with experience in integrating open-source LLMs (e.g., Mistral, LLaMA) and vector databases (such as FAISS, Qdrant, Weaviate, Milvus) in offline or edge environments. As part of the team, you will be involved in developing core APIs and infrastructure to facilitate embedding pipelines, retrieval-augmented generation (RAG), and LLM inference on local or mobile hardware. Your responsibilities will include designing and implementing backend services that connect with local LLMs and vector databases, creating APIs to support engineering, retrieval, and inference, integrating embedding models (e.g., BGE, MiniLM), and managing chunking/processing pipelines. Addit...

About Us: Auxiliobits is a leader in delivering cutting-edge automation solutions. We are currently looking for a dynamic Senior UiPath RPA Developer with expertise in Python, LLMs (Large Language Models) integration on Azure or AWS, and custom development in .NET/C#. Key Responsibilities: Design, develop, and deploy advanced RPA workflows using UiPath. Integrate LLMs (e.g., OpenAI, Azure OpenAI Service) into automation processes. Build custom UiPath components and activities using .NET C#. Utilize Python for advanced data processing, AI model interaction, and scripting. Collaborate with architects to design scalable, high-performance solutions. Interface with cloud platforms like Azure and ...

I’m building an AI-powered internal knowledge assistant that helps teams find answers instantly from Notion, Drive, Slack, GitHub, and more. If you're excited about LLMs, RAG pipelines, LangChain, and building fast from 0 1, let’s talk.