llm-large-language-models jobs in San Diego

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

As a senior-level systems engineer on Qualcomm's System Performance Team, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data-center AI platforms. You will profile and analyze complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance and power analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC hardware and software architectures, and triage root-cause issues for stakeholders.…See more You will provide technical leadership and mentorship to junior engineers, collaborate with cross-functional teams to implement solutions, and develop automation to improve team efficiency. The role requires 10+ years of post-silicon power and performance analysis experience, strong programming skills (Python, C/C++), and deep knowledge of ARM SoC architecture, memory hierarchies, system interconnects, and modern AI/LLM workloads.

Director-level role leading a software engineering team at a life sciences company building multi-omic analysis platforms. Requires hands-on full-stack expertise (React, Go, AWS, Temporal) alongside team management, architecture ownership, and end-to-end product delivery.…See more Must drive regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820), design controls, and V&V documentation while prototyping with AI tools and scaling agentic workflows within the team.

Director of Software Engineering leading end-to-end delivery across customer-facing products and internal tooling at a life-sciences company. This role combines hands-on full-stack development (React, Go, AWS, Temporal) with team leadership, architecture ownership, and regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820).…See more Candidates should have 10+ years of software engineering with 3+ years managing teams, fluency with modern AI coding assistants, and experience shipping instrumentation, cloud SaaS, and ML/AI features.

Build and scale evaluation harnesses and automation to measure how well AI-powered software development tools perform. You'll develop reproducible benchmarking systems, validate evaluation approaches against human judgment, and analyze results across repeated runs to identify variance, failure patterns, and optimization opportunities.…See more The role requires strong software engineering expertise in automation and testing, proficiency in Python and at least one other language (Java, JavaScript), and solid knowledge of Git, Docker, CI/CD pipelines, and AI/LLM evaluation methodologies.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.See more

Senior Enterprise Applications Developer responsible for designing, delivering, and supporting complex enterprise software, integrations, data solutions, and automation across cloud and on-premises environments. Requires 7+ years of progressive experience with advanced Python proficiency, hands-on expertise in REST APIs, ETL/data pipelines, CI/CD practices, and AWS or Azure cloud-native development.…See more Must demonstrate ability to lead solution design from requirements through production support, with experience in workflow automation, AI/LLM integrations, and compliance frameworks (HIPAA, SOC 2, SOX). Strong emphasis on security, governance, architecture, and cross-functional collaboration with technical teams and business leaders.

Enterprise Applications Developer responsible for building and supporting integrations among Salesforce, SaaS platforms, cloud services, and external partners using REST APIs, web services, and event-driven patterns. Develop Salesforce enhancements using Apex, Lightning Web Components, Flow, and SOQL/SOSL.…See more Design and maintain data extraction, transformation, validation, and loading processes; build workflow automations; and assist with AI-enabled solutions. Troubleshoot application and integration issues, maintain technical documentation, and support compliance requirements (HIPAA, SOC 2 Type II, SOX).

Develop prototype AI/ML solutions for ASIC design automation at NXP, exploring state-of-the-art techniques like GenAI, reinforcement learning, graph neural networks, and CNNs to improve VLSI CAD workflows. The role involves collaborating with architecture, IP, and SoC design teams to evaluate and pilot automation applications on leading-edge semiconductor technologies.…See more Candidates must have 5+ years of AI/ML expertise, strong Python/C++ programming skills, and hands-on experience with Unix/Linux, Git, and software development tools. Understanding of VLSI design constraints, EDA tools, and physical design flows is highly desirable.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

Lead a team of Databricks engineers delivering GenAI and LLM solutions to government clients. You'll architect and deploy production-scale data platforms, mentor engineers, and translate business requirements into AI solutions using Databricks' full stack (Lakehouse, Agent Bricks, Model Serving, Genie, Apps).…See more Enforce strong data management, CI/CD, testing, and documentation practices while working across AWS, Azure, and Google Cloud environments.

Senior Forward Deployed Engineer at Deloitte GPS building AI-enabled solutions and agentic platforms on Databricks for enterprise government clients. Requires 7+ years software/data engineering experience, 5+ years deploying GenAI/LLM solutions in production, and 5+ years hands-on Databricks expertise across Lakehouse, Agent Bricks, Model Serving, and Genie.…See more Mentors junior engineers, designs scalable AI patterns with human-in-the-loop controls, delivers production-quality code with strong CI/CD and testing practices, and translates complex business problems into deployable AI solutions.

Lead machine learning strategy and development for AppFolio's Leasing products, owning the ML roadmap and autonomous leasing agent architecture. Build evaluation frameworks, model quality infrastructure, and establish ML standards across the Leasing Engineering team while ensuring production-grade reliability, SLOs, and observability.…See more Translate research into shipped features by evaluating fine-tuning approaches, RAG patterns, and agentic systems; operate with production discipline on a SaaS platform serving real customer workflows.

As a Senior Platform Engineer at ReflexAI, you will design and maintain multi-cloud infrastructure across GCP and AWS using Terraform, Kubernetes, and GitHub, while building golden paths and guardrails that improve developer velocity. You'll own observability and monitoring with Datadog, strengthen security posture through IAM and container security best practices, and establish compliance workflows for SOC 2, HIPAA, and other industry standards.…See more This is a hands-on role requiring 5–7+ years of DevOps/SRE/platform engineering experience, deep cloud expertise, and CI/CD pipeline proficiency. You'll work cross-functionally to reduce operational toil and support an AI-driven product serving crisis support, healthcare, and enterprise customers.

Join Booz Allen Hamilton as an AI Software Developer Intern supporting U.S. Navy missions in San Diego.…See more You'll write and debug code (primarily Python), contribute to AI/ML-enabled automation projects, and work on software integration tasks alongside experienced engineers and cybersecurity specialists. The role is structured to support your academic commitments while you pursue a bachelor's degree in computer science, cybersecurity, or a related STEM field by Summer 2027.

Develop and optimize machine learning software for Qualcomm's AI Stack SDKs (QAIRT, Genie), enabling efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Design core runtime components for resource-constrained AI systems, validate performance/accuracy across use cases, and debug complex issues in embedded AI environments.…See more Requires C/C++ proficiency, Linux development experience, and strong software engineering fundamentals; 2+ years experience for senior roles, project/internship experience for entry-level. Preferred: embedded systems background, generative AI model familiarity, hardware acceleration knowledge, and experience with Qualcomm AI Stack products.

Qualcomm seeks a Software Test Engineer to validate on-device AI solutions across mobile, PC, and automotive platforms, with emphasis on generative AI models (LLMs, LVMs, LoRA, agentic workflows) and system-level performance across SoC components (CPU, GPU, DSP, NPU). The role involves designing end-to-end validation workflows, developing test automation frameworks in Python/Java/Shell, analyzing model outputs for accuracy and robustness, and conducting stability and performance testing.…See more Candidates should have 1–3+ years of software testing or AI validation experience (or be fresh graduates with strong AI/ML fundamentals), proficiency in Python, Java, and Linux, and solid understanding of AI inference, RAG systems, and multi-step reasoning pipelines.

A junior software developer role focused on designing, implementing, and integrating AI/LLM-enabled automation and analytics for Navy cybersecurity and mission workflows. You will participate in technical discussions with cybersecurity specialists and mission partners, contribute to solution architecture and tradeoff analysis, and deliver hands-on work including scripts, APIs, and AI-assisted workflows.…See more The role requires hands-on coding in Python, API integration (REST/HTTP), version control (Git), and the ability to communicate technical concepts to non-specialists while respecting RMF, security controls, and responsible AI practices in classified or controlled environments.

Principal-level AI/ML Platform Architect responsible for designing and optimizing AI/ML systems across Qualcomm's hardware and software stacks, particularly for Windows PC/Laptop platforms. The role requires deep expertise in performance optimization, bottleneck analysis, and end-to-end system characterization across GPUs, NPUs, and multiple AI domains (computer vision, audio, generative AI, agentic AI).…See more Candidates must demonstrate 15+ years in high-performance computing systems engineering with 5+ years specifically in AI system optimization, and will interface with cross-functional teams to deliver reference implementations, tools, and documentation for third-party developers.

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.

This Technical Program Manager role manages the integration of Agentic AI into Qualcomm's engineering infrastructure, focusing on governance, security, and platform enablement. You will coordinate across GSOC, Qualcomm AI Foundations, Cybersecurity, and engineering teams to define requirements, track milestones, and align roadmaps for AI asset management and deployment.…See more The position requires driving cross-functional initiatives that bridge AI platform capabilities with security, compliance, and operational readiness while communicating progress to technical and executive stakeholders.