As an AI/NLP Engineer, you will leverage Large Language Models (LLMs) and cutting-edge AI techniques to create transformative solutions for public safety and intelligence workflows. You will apply your expertise in LLMs, Retrieval-Augmented Generation (RAG), semantic search, Agentic AI, GraphRAG, and other advanced AI solutions to develop, enhance, and deploy robust features that enable real-time decision-making for our end users.
We are looking for a Middle Python Developer to join our Conversational AI team to build ADK (Agent Developent Kit) Bots, implementing agentic logic, and developing multi-turn conversational flows to deliver intelligent and seamless customer experiences.
As a Machine Learning Engineer on our team, you will play a key role in this transformation, utilizing state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data. Your work will focus on breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions.
We are expanding our technology team to integrate AI-driven automation into customer support and ticketing systems, and seeking a skilled AI & ML Developer with expertise in NLP, chatbot development, and intelligent automation. You will design and develop NLP models for chatbots, sentiment analysis, and document processing, build and deploy intelligent chatbots for customer support and ticketing automation, and optimize AI models for ticket categorization, prioritization, and auto-routing.
Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, you’ll work on building and scaling the core infrastructure that powers our retrieval-augmented generation platform. You’ll help design robust services and scalable systems, with a focus on automation, observability, reliability, and performance.
Become an EXpert as an AI Developer (LangChain + Python) at EX Squared. In this role, you will design, develop, and maintain intelligent agents and conversation flows using LangChain and language model APIs. Implement RAG architectures, memory, and multi-step reasoning. You will ensure deployment in production environments, with scalability and robustness.
This is an exciting opportunity for a motivated entry-level AI Engineer to join and help build our AI division from the ground up, creating intelligent tools and automation solutions that streamline critical business processes. The ideal candidate will collaborate with senior leadership to define AI strategy, design, develop, test, and deploy AI-powered tools, and integrate AI solutions with existing platforms and cloud services.
This is a strategic and technical leadership role for someone with deep expertise in content discovery and retrieval systems, experience with natural language and search ranking models, and the ability to manage multiple pods—including other engineering managers. You’ll work closely with leaders across Product, Data Science, Infrastructure, and Design to deliver scalable, intelligent systems that enhance how our customers access and organize content.
Shape the future of our platform by implementing AI agents, fine-tuning large language models (LLMs), and integrating machine learning (ML) capabilities. Be part of a small but highly ambitious team, where your work will have a direct impact on the product, customers, and company trajectory.
This role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development.