llm-large-language-models jobs in San Diego

Lead Qualcomm's next-generation AI accelerator platform as senior engineering director, defining software vision, architecture, and roadmap while managing multiple engineering organizations spanning system software, device drivers, AI runtimes, compilers, ML frameworks, and platform SDKs. Partner with hardware teams on co-design, drive software readiness across chip development milestones, and establish performance/power/reliability goals.…See more Requires 9+ years software engineering experience (or PhD + 8 years), 4+ years with C/C++/Java/Python, and demonstrated expertise in AI/ML stacks, compiler technologies, runtime systems, or high-performance computing.

SHEIN is seeking a Senior Data Engineer to build and productionize GenAI/LLM solutions for data engineering workflows, including code assistance, metadata discovery, and knowledge access. The role focuses on developing RAG and agentic workflows, automating incident triage and log analysis, and integrating AI capabilities into internal developer tools and services.…See more You'll own scoped projects from problem definition through production support, requiring 3+ years of hands-on production experience with strong Python/SQL fundamentals, proven GenAI/LLM application development, and practical knowledge of databases, APIs, data pipelines, and distributed systems.

Sr. Director leading Qualcomm's next-generation AI accelerator platform software strategy, architecture, and delivery.…See more Manages multiple engineering organizations spanning system software, firmware, device drivers, AI runtimes, compilers, ML frameworks, SDKs, and validation. Defines performance and reliability goals, drives cross-functional hardware-software co-design, and partners with customers and hyperscalers. Requires 15+ years software engineering experience with 8+ years leading large, globally distributed teams; deep expertise in AI/ML stacks, compilers, runtime systems, or heterogeneous computing architectures.

A security-focused software engineer will perform vulnerability research against software stacks, design and implement security tools and embedded software solutions, and conduct code reviews and regression testing. The role requires deep expertise in reverse engineering, memory management, and low-level debugging across x86 and ARM architectures, with hands-on experience in tools like IDA Pro, Ghidra, gdb, and JTAG.…See more Candidates should have 3+ years of embedded software engineering experience, strong Linux fundamentals, and demonstrated ability to identify and remediate security vulnerabilities. LLM experience to augment reverse engineering and vulnerability discovery is preferred.

Founding Product Engineer to build a greenfield physical AI product at Netradyne, working across full-stack infrastructure, product UX, and agentic AI features. You'll design multi-tenant cloud and edge systems on AWS with real-time dashboards, compliance analytics, and AI-powered agent orchestration for safety operations.…See more Expected to own end-to-end problems—from device to cloud to customer—with 7+ years of software engineering across backend (Go, Python, Java), cloud infrastructure (containers, CI/CD, distributed systems), and modern frontend (TypeScript/JavaScript). Direct customer collaboration and rapid iteration in the field required; fluency with AI-assisted development tools (Claude, Cursor) expected.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architectural layers at Intuit. Architect and develop scalable, secure, maintainable applications using microservices, containers, and cloud platforms while proactively integrating AI technologies.…See more Mentor junior engineers on software engineering best practices, AI integration, and technical expertise. Launch AI integrations in production, evaluate impact using metrics, and stay abreast of industry best practices to solve critical customer problems.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architecture layers at Intuit. Responsible for architecting and developing scalable, secure applications using microservices and cloud technologies, with a focus on integrating AI models (LLM prompting, AutoML) into production systems.…See more Will mentor junior engineers on software best practices and AI integration, evaluate AI performance metrics, and stay current with emerging technologies. Requires 7+ years delivering enterprise-class applications with strong full-stack capabilities spanning front-end (JavaScript), mid-tier (Java), databases (SQL/NoSQL), and cloud/container platforms (Kubernetes, cloud environments).

A software security engineer focused on vulnerability research, reverse engineering, and embedded software development for government customers. The role involves performing end-to-end vulnerability research against software stacks, designing and implementing security tools, developing embedded software solutions, conducting code reviews, and writing technical documentation.…See more Required skills include proficiency in C/C++/Java/Python, deep Linux knowledge, x86/ARM architecture expertise, reverse engineering tools (IDA Pro, Ghidra), and debugging utilities (gdb, strace, ltrace). Experience with Android, Trace32/JTAG, Git, and LLMs for augmenting reverse engineering workflows is preferred.

Lead research projects in AI/ML across areas including decision-focused AI, probabilistic modeling, causal inference, agentic systems, neuro-symbolic AI, and LLM-based reasoning. Define technical direction, mentor junior researchers, and translate research innovations into Intuit's products.…See more Requires a PhD, 8+ years of post-PhD research experience with top-tier publications, and deep expertise in one or more focus areas. Proficiency in Python, PyTorch, or TensorFlow, and strong fundamentals in deep learning, optimization, and statistical machine learning are essential.

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.

Lead the design and governance of Sharp HealthCare's enterprise data architecture, including data models, warehouses, and integration patterns supporting clinical, operational, and strategic analytics. Collaborate with IT, analytics teams, and business stakeholders to translate organizational needs into scalable, compliant data solutions.…See more Optimize data pipelines, define data standards, and guide implementation of data platforms while mentoring technical team members and contributing to long-term data strategy.

Principal Engineer leading the technical direction for ServiceNow's Conversational Analytics platform, which enables customers to query data in natural language using AI. The role combines hands-on architecture and prototyping with mentorship of engineering teams, requiring deep expertise in AI/ML systems, vector retrieval, agentic architectures, and knowledge graphs.…See more You'll collaborate with product and leadership to design cloud-based solutions integrating LLMs and AI into enterprise workflows, with accountability for customer success metrics and evaluation frameworks.

Senior Data Engineer role focused on building and productionizing GenAI/LLM solutions for data engineering workflows. You will develop RAG and agentic workflows, automate incident triage and root-cause analysis, integrate AI capabilities into internal developer tools, and own projects from problem definition through production support.…See more Required: 3+ years of production systems experience, strong Python/SQL, hands-on GenAI/LLM application building, and software engineering fundamentals including testing, CI/CD, and monitoring.

Principal Machine Learning Engineer at AppFolio to architect and lead mission-critical AI systems across the Realm-X property management platform. You'll design advanced AI agentic systems combining reasoning, planning, and execution; establish ML platform primitives for end-to-end production workflows; and drive the transition toward autonomous property management using LLMs, fine-tuning, and reinforcement learning.…See more Requires 10+ years building software systems with deep expertise in traditional ML, deep learning, generative AI, LLM post-training (SFT, RLHF, DPO, RL), and production ML at scale—plus a Master's or Ph.D. in Computer Science or related field.

Sr. AI Developer at XiFin will design and build AI-powered applications, agents, and automation tools that enhance software development workflows and improve engineering productivity.…See more The role involves developing intelligent testing solutions integrated with CI/CD pipelines, implementing AI-assisted developer tools using Claude and AWS Bedrock, and evaluating emerging AI technologies. You'll work hands-on across Python, LLMs, generative AI, and cloud-native AWS infrastructure, partnering with Engineering, QA, and DevOps teams to prototype and deploy scalable, production-ready solutions. The position requires 4–7+ years of software engineering experience with strong Python skills, LLM/generative AI application experience, and familiarity with modern DevOps practices.

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. Pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging.…See more Own end-to-end feature delivery from requirements through on-target bring-up, and debug complex multi-layer hardware issues using AI-assisted analysis. Requires deep expertise in modern C/C++, embedded systems (DSP/Arm architectures), RTOS internals, data structures, and hands-on target hardware debugging, combined with practical experience using AI coding assistants and agentic tools.

Design and build production AI solutions including copilots, agents, RAG applications, and workflow automations on Azure OpenAI, Claude, and Microsoft platforms. Write custom code in Python, JavaScript/TypeScript, or C# and leverage low-code platforms like Power Automate and Logic Apps where appropriate, following solid engineering practices (version control, testing, CI/CD, AI output evaluation).…See more Integrate solutions with enterprise systems and APIs with security-first design, own projects end-to-end from deployment through adoption and improvement, and work with security, architecture, governance, and compliance teams to ensure production readiness. Communicate clearly to both technical and business audiences, document designs, and coach teammates on AI capabilities, limits, and risks.

Staff Software Engineer responsible for driving significant technology initiatives end-to-end across multiple architecture layers, designing and developing scalable, secure applications that solve critical customer problems. The role requires architecting microservices-based systems, integrating AI technologies (LLMs, AutoML) into production applications, and mentoring junior engineers on software best practices.…See more Candidates must have 9+ years of enterprise application development experience with proficiency in JavaScript, Java, Kubernetes, SQL/NoSQL databases, CI/CD pipelines, and practical AI integration skills including LLM prompting and production performance monitoring.

Senior Forward Deployed Engineer responsible for building and deploying GenAI/LLM-powered solutions on AWS, working directly with enterprise clients to translate business needs into production AI systems. The role requires 5+ years of software/data engineering experience, 1+ years hands-on with AWS AI&Data services (Bedrock, Neptune, OpenSearch), and the ability to lead technical workstreams while mentoring team members.…See more You will prototype solutions, develop scalable AI patterns with human-in-the-loop controls, write production-quality code with strong testing and CI/CD practices, and create reusable assets including code libraries and reference implementations. 50% travel required.

Forward Deployed Engineer who partners with enterprise clients to identify business needs and prototype production-grade GenAI/LLM solutions on AWS. Designs and builds AI-enabled agentic platforms, workflows, and scalable engineering patterns using AWS AI&Data services (Bedrock, Neptune, OpenSearch).…See more Delivers production-quality code with strong testing, CI/CD, logging, and documentation practices while mentoring team members and translating complex business problems into technical AI solutions.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

Conduct cutting-edge research in efficient generative AI, including LLMs, multi-modal foundation models, LLM reasoning, reinforcement learning, and agentic AI. Lead high-impact research initiatives and develop production-ready solutions with real-world commercial impact, with a focus on on-device deployment challenges.…See more Implement and evaluate solutions in both simulation and on-device environments, and publish findings in top-tier AI/ML conferences. Requires a Master's degree and 2+ years of experience (or PhD), with proven research excellence, deep expertise in generative AI and reinforcement learning, and hands-on experience with model development pipelines including training, fine-tuning, evaluation, and optimization.

As a Staff Software Engineer on Qualcomm's AI Software team, you will lead design and development of core features in the Qualcomm AI Stack (QAIRT and Genie), optimizing deep neural networks and large language models for execution on Snapdragon mobile platforms. You will drive AI runtime framework components for resource-constrained mobile systems, working closely with OEM partners and customer teams to deliver features, optimizations, and bug fixes required for product launches.…See more The role demands expertise in optimizing for power, memory, and performance constraints while maintaining high code quality through design reviews and mentoring junior engineers. You will debug complex system issues across software-hardware boundaries and proactively improve developer workflows, tools, and documentation.

As an Anthropic Forward Deployed Engineer, you will embed with government and public services clients to identify business needs and rapidly prototype GenAI-enabled solutions using Claude and related Anthropic technologies. You'll build production-quality AI solutions, agentic platforms, and workflows while working independently and collaborating with senior stakeholders to drive measurable business impact.…See more The role requires 4+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and demonstrated expertise with Anthropic's platform technologies including Claude API, tool use, and extended thinking. You'll develop scalable AI patterns, contribute reusable assets, and mentor team members while balancing quality, safety, latency, and cost considerations.

Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps.…See more Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.