Embeddings Jobs

Join us as we build the next generation of enterprise search infrastructure powering AI agents. Our mission is to evolve from traditional product-specific search systems into a composable, agent-native platform that enables agents and applications to discover, retrieve, reason over, and recommend information across heterogeneous enterprise data sources. As a Senior Staff Engineer, you will be the technical owner for foundational search infrastructure that serves as the backbone of our agentic platform. You will drive the architecture, scalability, and evolution of core indexing and retrieval systems while partnering closely with Search Ranking, ML, Platform, and AI teams to deliver production-grade search capabilities that power agent experiences across the company.

$191k - $334k

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

Salesforce is seeking an early-career, highly driven Value Acceleration Engineer to join their Agentforce for Supply Chain team. In this forward-deployed role, you will work directly with enterprise customers and Customer Success teams to implement AI-powered solutions for supply chain management. Your primary goal will be to compress the customer's time-to-value by designing and building agentic workflows and getting critical business processes live in production within an intensive 90-day window. This role is structured as a rotational "Field Residency," where you will spend the initial 6-12 months mastering production edge cases and customer complexities before transitioning into a core product and engineering pod, bringing valuable frontline insights to shape the future platform.

$117k - $224k

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract signals about how hands and objects interact, temporal events, and clip reliability for training frontier models. We are a small, well-backed team from leading tech companies, aiming to revolutionize how Physical AI models are trained by providing reliable, curated datasets derived from vast amounts of video footage. This role is based in our SF Mission District office, with a 4-day work week. As Technical Lead, Multimodal Research, you will drive the technical vision for Eventual's understanding of video data. You will own the strategy for selecting, prototyping, and deploying models and representations at scale, ensuring they meet rigorous evaluation standards and cost-efficiency targets. This is a senior individual contributor role focused on setting research direction and making key architectural decisions, while remaining hands-on with research and experimentation.

$150k - $300k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Tech, Media & Telecom team builds AI agents for critical moments, such as service disruptions or major product launches, to enhance customer relationships across telecommunications, media, and technology sectors. These agents aim to personalize experiences, optimize plans, drive engagement, and improve customer loyalty.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Travel, Transportation and Hospitality (TTH) team specifically supports major players in the travel industry, helping them deliver exceptional customer experiences, drive growth, and build innovative products. This is a small, scrappy, and collaborative team where every member is encouraged to think like a product owner and contribute to shaping the future of AI in travel.

$180k - $390k

Sierra is seeking a Software Engineer to join its Financial Services team, focusing on building customer-facing AI agents for major brands. This role involves designing, delivering, and iterating on production-grade AI agents that are mission-critical and drive revenue. You will own the Agent Development Life Cycle (ADLC) from pilot to deployment, working directly with enterprise clients and startups to solve complex business challenges. Your work will directly influence the evolution of Sierra's core platform, shaping the future of AI agent development. The team partners closely with financial institutions to transform customer experiences, making the industry more accessible, human, and affordable.

$180k - $390k

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to revolutionize customer service and business growth. We are an in-person company based in San Francisco with a culture guided by trust, customer obsession, craftsmanship, intensity, and a commitment to work-life balance. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like Salesforce, Facebook, and Google. The Retail Team specifically focuses on reinventing AI-first commerce for renowned brands such as Gap, Wayfair, and Sonos, handling millions of customer interactions annually across various channels. We aim to create seamless experiences that resolve issues, drive revenue, and build lasting customer loyalty.

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family. Our Financial Services team works with systemically important banks, neobanks, and insurers, impacting millions of end customers and billions in economic activity. We build modern tools that address critical customer moments, making the financial industry more accessible, human, and affordable.

$180k - $390k

Perplexity is looking for an experienced Machine Learning Research Engineer to contribute to the development of next-generation advanced search technologies, with a particular emphasis on retrieval and ranking. This role involves architecting and building core components of the search platform and model stack, and deploying models from boosting algorithms to LLMs in a scalable and performant manner. The engineer will also be responsible for building and optimizing RAG pipelines for grounding and answer generation, and collaborating with cross-functional teams to ensure high-quality delivery.

Salesforce is seeking a Senior / Lead Software Engineer to join their Product Team. In this role, you will translate ambiguous product challenges into high-quality software, collaborating closely with product and design teams to define product direction, development, and success metrics. You will work on core customer workflows, from the user interface to the backend services and data models. A key aspect of this role involves integrating emerging AI capabilities into practical and reliable product experiences, ensuring these features are observable, testable, and maintainable. This position is ideal for someone who thrives on moving quickly from concept to implementation and iterating based on user feedback.

$149k - $314k

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The focus is on shipping multi-agent systems in production, owning the evaluation harness, and understanding system failures in real-time enterprise environments. You will architect and govern production-grade agentic systems at enterprise scale, defining standards for RAG pipelines, multi-LLM integration, and LLMOps. This position offers broad exposure across industries and technology stacks, with opportunities for vendor fellowship access and a direct pathway to advanced engineering programs.

Databricks

The Applied AI team at Databricks is at the forefront of advancing GenAI-powered products, having launched Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are used by hundreds of thousands of users daily, tackling challenging problems like code suggestion, text-to-sql generation, and knowledge QA. As GenAI products evolve, we are seeking engineers to drive the next phase of development, focusing on enhancing LLM quality, expanding GenAI capabilities, and strengthening platform architecture for AI interactions at scale.

$190k - $285k

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

Retool is building the future of internal software development, making it safe and efficient to ship custom applications powered by AI. As AI capabilities expand, the challenge shifts from accessing models to ensuring the reliability, evaluability, and trustworthiness of these non-deterministic systems in production. We are seeking AI Engineers to own this critical problem end-to-end. This role is for individuals who are passionate about managing probabilistic systems, measuring quality amidst variance, and driving continuous improvement without introducing regressions.

$164k - $306k

OpenAI

OpenAI is seeking a Forward Deployed Engineer (FDE) to lead the end-to-end deployment of its AI models within financial services organizations. This role involves partnering with banks, asset managers, and other financial firms to integrate AI systems into high-stakes environments, focusing on correctness, latency, explainability, and control. You will work closely with customers to translate complex workflows and regulatory requirements into reliable, auditable production systems that deliver measurable business impact. Success will be measured by production adoption, workflow efficiency, risk reduction, and revenue impact, with feedback loops informing product and strategy. This position also plays a key role in shaping OpenAI's financial services offerings by identifying use cases, defining solution patterns, and building scalable deployments.

$185k - $300k

Ironclad is building AI solutions at enterprise scale, focusing on one of the most consequential datasets: over 2 billion contracts. This role involves developing agentic solutions for problems that are still being defined in the contract AI space. The team operates with a short feedback loop, rich data, and empowers individuals to shape the product's direction, enabling rapid impact. Ironclad is recognized as an industry leader in Contract Lifecycle Management and is backed by prominent investors.

$180k - $200k

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.

NVIDIA is seeking a Principal AI Workflow Engineer to join the Enterprise Integration and API Team. This role is at the forefront of AI-augmented engineering, utilizing AI-assisted tools and automation to accelerate development and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity to support AI application development.

$248k - $391k

As a Lead AI Agent Architect at Parloa, you will be instrumental in revolutionizing customer service through advanced AI-powered agents. This customer-facing role involves leading the design and implementation of AI Agent solutions to help enterprise clients and partners achieve more efficient, scalable, and intelligent customer experiences. You will operate at the convergence of LLMs, conversational design, and enterprise systems, translating intricate requirements into robust, production-ready AI workflows. Your responsibilities will span from initial solution design through deployment and optimization, ensuring AI agents perform reliably, integrate seamlessly, and deliver tangible business impact. This is a unique opportunity to architect and deploy cutting-edge AI Agents at scale, significantly influencing how enterprises leverage LLMs to enhance customer experience and operational efficiency.

$196k - $223k