semantic-search jobs in San Diego

Principal Engineer leading NLP innovation at enterprise scale, responsible for developing retrieval-augmented generation architectures, agentic AI workflows, and production language systems that process petabytes of data. Design knowledge graphs, semantic layers, and ontology-aware language understanding systems while optimizing inference for latency and cost.…See more Drive large-scale model improvements through prompt engineering, fine-tuning, and reinforcement learning, and mentor senior engineers to establish NLP best practices across the organization.

Design and implement data models across enterprise data platforms, lakes, lakehouses, warehouses, and real-time streaming architectures, optimizing for performance, scalability, governance, and consumption. Collaborate with data engineers, business stakeholders, and AI/ML teams to build conceptual, logical, and physical models supporting advanced analytics, machine learning, RAG applications, and knowledge graphs.…See more Lead governance alignment, mentor junior modelers, and drive cross-functional strategy on data architecture, metadata management, and enterprise information modeling. Requires 8+ years of hands-on data modeling experience, deep SQL and relational theory expertise, and proven ability to bridge business and technical stakeholders across complex enterprise environments.

As Principal Engineer for Domain Knowledge at Teradata, you will architect and lead the development of AI-powered data discovery platforms that leverage LLMs, semantic understanding, and agentic workflows to help enterprises identify and consume trusted data assets. You'll design retrieval frameworks, metadata enrichment systems, and conversational discovery experiences while serving as principal architect and thought leader across multiple engineering organizations.…See more The role requires 12+ years building large-scale data platforms and 5+ years leading enterprise data catalog or metadata management implementations, with deep expertise in metadata systems, distributed systems, cloud platforms, search technologies (Elasticsearch, OpenSearch, Solr), and modern data platforms (Databricks, Snowflake, Fabric). You will mentor senior engineers, drive architecture reviews, and influence long-term platform investments across the metadata ecosystem.

As an AI Scientific Software Engineer, you will develop MARIE, an AI-powered scientific companion within the BIOVIA 3DEXPERIENCE platform for pharmaceutical, biotech, and fine-chemical industries. You will build knowledge integration systems, agentic AI frameworks with tool calling and reasoning loops, and implement AI safety guardrails and validation mechanisms.…See more The role requires strong Python and LLM expertise, hands-on experience with frameworks like LangChain and LangGraph, RAG systems, prompt engineering, and vector databases. You will work collaboratively across application development, QA, product, and technical teams using Agile practices.

As an AI Scientific Software Engineer, you will develop MARIE, an AI-powered scientific companion within the 3DEXPERIENCE platform, focusing on knowledge integration, agentic AI workflows, and AI safety. You'll build systems that connect scientific data sources, implement retrieval-augmented generation (RAG) and semantic search capabilities, orchestrate multi-step agentic workflows with tool calling and reasoning loops, and establish guardrails for AI reliability.…See more The role requires strong Python expertise, deep LLM fundamentals (tokens, temperature, context windows), hands-on experience with frameworks like LangChain and LangGraph, and the ability to design and optimize prompts for scientific reasoning tasks.

The AI Scientific Software Engineer will develop MARIE, an AI-powered scientific companion within BIOVIA's Pipeline Pilot platform, focusing on prompt engineering, agentic AI frameworks, and AI safety mechanisms. Responsibilities include designing and iterating on prompts for improved reasoning and factuality, building multi-step agentic workflows with tool calling and memory management, and implementing guardrails and validation systems.…See more The role requires a PhD in Life Sciences or Computer Science with 3+ years of software development experience, strong LLM fundamentals knowledge, hands-on experience with RAG systems and frameworks like LangChain/LangGraph, and familiarity with pharmaceutical and biotech workflows.

You will develop AI-powered scientific software for MARIE, an AI companion within BIOVIA's Pipeline Pilot platform serving pharmaceutical and biotech researchers. The role focuses on prompt engineering, agentic AI frameworks, and AI safety mechanisms—designing and optimizing LLM-based workflows for multi-step scientific tasks.…See more You'll implement RAG systems, semantic search, vector databases, and guardrails while collaborating across engineering, QA, product, and technical teams using Agile practices. The position requires a PhD in Life Sciences or Computer Science, 3+ years of software development, and hands-on experience with LLMs, agentic frameworks like LangChain, and prompt optimization.

Lead architectural direction and implementation of Drupal-based web properties and CMS platforms, managing a software development team while driving adoption of modern front-end practices (SDCs, Storybook, component libraries), design systems governance, and AI-powered capabilities for content creation and personalization. Ensure compliance with accessibility (WCAG), healthcare regulations (HIPAA), and cybersecurity standards.…See more Requires 10+ years of direct Drupal front-end development experience at a lead level, plus 2+ years managing software development teams.

Advanced manager and technical consultant designing and implementing enterprise-scale AI solutions spanning classical ML, generative AI, and agentic AI systems. Responsibilities include architecting AI-powered applications for business transformation (customer service, supply chain, finance, HR, operations), building RAG and autonomous agent workflows, developing ML pipelines, and establishing governance and observability frameworks.…See more Requires 8+ years in AI/ML/data science with 5+ years hands-on experience with Claude, GPT, LLMs, agentic frameworks, and RAG systems, plus deep expertise in prompt engineering, vector databases, and multi-agent architectures.

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

Staff Machine Learning Engineer to drive AI/ML-based automation across Qualcomm's Automotive SoC Cybersecurity and Safety engineering. The role focuses on building intelligent, scalable solutions using LLMs, GenAI, and agentic AI systems to streamline cybersecurity workflows, functional safety processes, and silicon verification.…See more Responsibilities include designing end-to-end ML pipelines, developing document-understanding and review-automation systems, and applying AI to security analysis and compliance monitoring across the product development lifecycle. Required: strong ML/AI background, Python or C++ proficiency, production ML experience; preferred: knowledge of automotive standards (ISO/SAE 21434, ISO 26262), hardware security, or RTL/verification workflows.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

Lead engineering and data science roadmap for Teradata's AI Platform, overseeing architecture, LLM integrations, RAG pipelines, vector store implementations, and data science experimentation frameworks. Partner with product, research, and engineering teams to define requirements for predictive modeling, multi-agent collaboration, and tool orchestration.…See more Manage and mentor a team of backend engineers, data scientists, and AI platform specialists while driving technical excellence, cloud-native practices, and platform scalability.

Qualcomm seeks a Staff Machine Learning Engineer to design and deploy AI/ML-based automation solutions for automotive cybersecurity and functional safety engineering workflows. The role involves building intelligent systems for document understanding, compliance automation, and engineering productivity, leveraging LLMs, GenAI, and agentic AI frameworks.…See more You will develop scalable end-to-end automation pipelines, contribute to knowledge systems and RAG platforms, and apply ML to security analysis and process optimization across the full product development lifecycle. The ideal candidate has 5+ years of ML/AI experience, strong programming skills in Python or C++, and familiarity with automotive cybersecurity standards such as ISO/SAE 21434.

Senior AI Software Engineer responsible for designing, developing, and deploying LLM-powered applications and AI-assisted development workflows within a large-scale enterprise Linux environment (~6M+ LOC, primarily C/C++). Build high-performance GPU-based inference pipelines using vLLM and modern frameworks, develop agentic AI workflows with RAG and tool calling, and integrate LLMs with vector databases and enterprise systems into production.…See more Collaborate across software engineers, AI researchers, and platform teams to productionize AI services while optimizing for performance, latency, scalability, and operational efficiency. Requires 4+ years software development, strong Linux/Red Hat experience, advanced C/C++, Python, LLM/RAG expertise, and GitLab CI/CD workflows.

Staff Data Engineer role at Credit Karma building petabyte-scale data infrastructure and streaming platforms on GCP. You will design and operate Kafka-based streaming infrastructure, build cloud-native data pipelines using Dataflow/Beam, Flink, and Spark, and create persistence frameworks across Spanner, MySQL, and BigQuery.…See more The role requires 7+ years backend/data systems experience in JVM languages (Scala/Java), expertise with high-throughput distributed systems, and deep knowledge of streaming platforms, Apache Beam, CDC patterns, encryption, and data governance frameworks. You'll also integrate AI/ML and generative AI technologies including LLMs, RAG, semantic search, and knowledge graphs into the data platform.

Staff Software Developer who will design, develop, and maintain AI-enabled knowledge management and decision-support platforms for environmental and engineering applications. Responsibilities include building data ingestion workflows, implementing retrieval-augmented generation (RAG) systems with vector embeddings and semantic search, developing backend services and APIs, creating secure web-based UIs, and working with cloud services (Azure AI Search, Blob Storage, PostgreSQL).…See more The role requires strong software development skills demonstrated through a public code portfolio, familiarity with LLMs and prompt engineering, and the ability to collaborate across technical teams to translate project needs into practical features.