FAISS Jobs

5 open roles mentioning FAISS

Applied Machine Learning Engineer

20d ago
P

PermitFlow

PermitFlow is seeking an Applied Machine Learning Engineer to develop the ML foundation for their AI agents, which are redefining how America builds by tackling complex information challenges in the construction industry. This role involves designing, prototyping, and deploying intelligent systems for document processing, insight extraction, and autonomous permitting workflows. You will own the end-to-end ML lifecycle, from research and data engineering to production deployment and continuous evaluation, contributing to the AI infrastructure that accelerates housing, clean-energy, and infrastructure development.

$175k - $250k

New York City, NY hybrid FullTime
OpenAIAnthropicPinecone +9 more

Staff Applied AI Engineer - Enterprise AI Solutions

21d ago
S

Snorkel AI

Snorkel AI is seeking a Staff Applied AI Engineer to join their frontier AI data lab. In this role, you will research and implement state-of-the-art Generative AI and machine learning techniques to deliver impactful solutions for customers. You will work directly with clients to understand their needs, design AI solutions, and contribute to Snorkel's tooling by translating real-world challenges into reusable recipes and workflows. This position is ideal for individuals who enjoy solving complex problems, bridging AI technology with business value, collaborating with customers, staying current with AI research, and standardizing solutions into internal tooling.

$230k - $360k

New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) hybrid
LangGraphCrewAILlamaIndex +13 more

Senior Staff Applied AI Engineer - Context Retrieval

1mo ago
Databricks

Databricks

Databricks is seeking a Senior Staff Applied AI Engineer to lead the development of context retrieval systems for Databricks agents across various SaaS providers. This is a foundational role focused on building both the underlying retrieval stack and the intelligent search subagents that leverage it. The goal is to significantly enhance the ability of Databricks agents to access and understand relevant information from diverse data sources, thereby improving their performance in tasks ranging from answering complex queries to debugging and data analysis. This role requires deep expertise in information retrieval and a proven track record of shipping production-ready retrieval systems for RAG and agentic workloads.

$229k - $343k

Mountain View, California; San Francisco, California remote
LLMRAGFine-Tuning +11 more

Senior AI Full Stack Developer (Python & React)

1mo ago
Accenture

Accenture

Accenture Industry X is seeking a Senior AI Full Stack Developer with expertise in Python and React/TypeScript to design, build, and deploy production-grade AI applications. You will work across the complete technology stack, from Python backend services and AI orchestration layers to responsive React-based user experiences. This role involves hands-on work with Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), APIs, cloud platforms, and modern DevOps practices, transforming AI concepts into scalable, observable, and production-ready solutions within fast-moving, cross-functional teams.

Cluj-Napoca remote
OpenAILangGraphLangChain +39 more

Staff Product Engineer - Search FX (Discovery Experience)

1mo ago
F

Faire

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

$231k - $318k

New York City, NY; San Francisco, CA hybrid
AWSKubernetesGo +10 more

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