generative-ai jobs in San Diego

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and developer experience. The role involves building self-service infrastructure tooling, contributing to observability and SLO definitions, participating in on-call rotations, and automating infrastructure provisioning using Terraform.…See more Requires 3+ years of software or infrastructure engineering experience, production Go development, hands-on Terraform expertise, and deep knowledge of distributed systems concepts and operational practices.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application software, operating systems, networking, virtualization, and hardware interfaces. The role requires 5+ years of professional software development experience with proficiency in Python, modern front-end frameworks, RESTful APIs, Linux administration, containerization (Podman/OCI), Git, and configuration automation (Ansible).…See more Strong emphasis on independent ownership of features from requirements through implementation and testing, with preferred experience in LLMs, generative AI, agentic workflows, and AI-tool integration for engineering tasks.

Design and architect AI-powered engineering productivity solutions and agentic workflows to automate software development lifecycle processes at scale. Build automation platforms, engineering dashboards, and AI-assisted debugging/triage systems while collaborating with engineering and platform teams.…See more Drive adoption of generative AI and LLMs within software engineering workflows, mentor engineers, and define technical direction for productivity services. Requires strong system design skills and proficiency in Python or C++, with preferred experience in LLMs, RAG systems, CI/CD, and internal developer platforms.

Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.…See more The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.

Design and implement AI-powered engineering productivity solutions, including agentic workflows and automation platforms for large-scale software development organizations. Develop frameworks for AI-assisted debugging, triage, and root cause analysis while building engineering dashboards and operational metrics.…See more Architect and scale engineering automation across the software development lifecycle, partnering with platform and product teams to identify high-value opportunities. Mentor engineers and drive adoption of generative AI and LLM technologies within enterprise software engineering workflows.

Design, build, and maintain secure enterprise data platforms supporting AI/ML workloads, with responsibility for database optimization, CI/CD automation, and DoD compliance. Mentor junior engineers and provide technical leadership on architecture decisions.…See more Implement security controls aligned with NIST 800-53, RMF, and DISA STIG standards throughout the platform lifecycle. Develop ETL/ELT pipelines, support data lakes and lakehouses, and evaluate emerging data technologies for mission fit.

As a Software Architect, you will design AI-first software development lifecycles and lead teams in building GenAI-integrated platforms. You'll architect solutions using prompt engineering, RAG, embeddings, and agentic AI while managing multi-developer environments where AI agents and engineers collaborate.…See more You'll own product architecture, prototype AI-driven solutions with modern DevOps and observability, and coach teams on AI-accelerated development practices. The role requires 6+ years of production software experience, hands-on use of agentic IDEs, proven GenAI integration delivery, and strong architecture expertise across APIs, microservices, cloud platforms, and CI/CD.

Senior Software Engineer role developing web-based applications that integrate with custom embedded systems, using generative AI and AI-assisted coding tools. Requires 6+ years of software engineering experience, proficiency in multiple languages (Python, JavaScript/TypeScript, Go, C/C++, Rust, C#), expertise in Linux systems, web-based UI development, and network software engineering (TLS/HTTPS).…See more Responsibilities include designing and implementing AI-assisted software applications, writing specifications and test documents, executing tests, and interfacing with customers on requirements and design reviews.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.…See more The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.

A Senior Solutions Architect role focused on security observability and developer tooling ISVs, responsible for owning technical relationships with customers and guiding them through cloud adoption on AWS. You'll participate in deep architectural discussions, design cloud-native reference architectures for data and analytics use cases, and drive adoption of AWS services within customer platforms.…See more The role involves technical advocacy, strategic guidance on leveraging AWS technologies, authoring technical publications, and building relationships with senior technical stakeholders to establish them as cloud advocates.

UiPath Solutions Architect or Senior RPA Developer responsible for designing, building, and deploying enterprise robotic process automation solutions. The role requires deep UiPath expertise (Orchestrator APIs, Apps, enterprise implementations), integration of AI/ML and generative AI capabilities into automation workflows, and ability to architect centralized operational dashboards and command centers.…See more Responsibilities include troubleshooting complex integrations, conducting functional and UAT support, creating technical documentation, and working iteratively with customers in DoD/Federal Government environments. A DoD security clearance (active or ability to obtain) is required.

Lead AI software strategy and architecture for Qualcomm's automotive platform, directing deployment of computer vision, perception systems, LLMs, and generative AI workloads. Drive architectural decisions across multiple products and customer programs while mentoring cross-functional teams.…See more Ensure solutions meet automotive safety, performance, and reliability standards. Requires 8+ years of software/systems engineering experience with deep expertise in AI/ML, C/C++, and automotive software environments.

Senior Software Engineer with 6+ years of experience to design, develop, and maintain web-based applications that integrate with custom embedded systems, leveraging generative AI and AI-assisted coding tools. The role requires expertise in Linux systems, web-based UI development, network software engineering (TLS/HTTPS), and proficiency across high-level languages (Python, JavaScript/TypeScript, Go) and systems languages (C/C++, Rust, C#).…See more Responsibilities include writing requirements and specifications, executing tests, and interfacing with customers on requirements and design reviews.

Senior Software Engineer with 6+ years of experience to design, develop, and implement AI-assisted web-based applications that integrate with custom embedded systems. The role requires expertise across multiple languages (Python, JavaScript/TypeScript, Go, C/C++, Rust, C#), Linux systems, web UI development, and network software engineering (TLS/HTTPS).…See more Responsibilities include writing requirements and test documents, executing tests, and interfacing with customers on design reviews.

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.

Staff-level engineer leading technical vision and architecture for the Resident Concierge product, a SaaS platform for property managers and residents. Responsible for designing and scaling distributed systems to handle 10x traffic growth, mentoring engineers, and collaborating with product, design, and ML teams to integrate generative AI capabilities.…See more Requires 8+ years building and scaling web applications, proven leadership on high-stakes projects, and hands-on experience adopting AI tools; will own the full lifecycle from discovery through production.

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.

Lead complex contact center routing initiatives end-to-end for Intuit's GBSG business unit, from stakeholder discovery through Amazon Connect configuration, deployment, and production monitoring. Design and execute advanced routing strategies using CUP/CUE platforms, manage multi-region Amazon Connect environments, and analyze routing performance across channels using QlikSense, Splunk, and Databricks.…See more Serve as a routing and platform subject matter expert, provide guidance on design tradeoffs, and manage P0 incidents within SLA. Proactively apply generative AI tools to accelerate analysis, configuration work, and team workflows.

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.

Senior Developer on Dell's Office of the CTO team responsible for developing new AI applications from concept to production. You'll work across the full stack in small cross-functional teams, rotating through projects involving generative AI, data engineering, and MLOps.…See more The role requires solid programming fundamentals, experience or strong interest in DevOps/XP practices (microservices, CI/CD, containerization), and proficiency in languages like Python, Go, Java, C++, or JavaScript.

Senior Developer role focused on developing new AI applications from concept to production within Dell's Office of the CTO. You'll work on small cross-functional teams using pair programming and agile methodologies, rotating through different projects and technologies across the full stack.…See more Required: strong programming fundamentals, proficiency in Go, Python, Java, JavaScript, C++, Bash, or similar languages, plus interest in DevOps practices (microservices, CI/CD, containerization), generative AI, and MLOps. Desired: 5+ years of software development experience, data engineering skills, and familiarity with GenAI frameworks like LangChain.

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

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.

Design, architect, and deploy on-device AI prototype software for edge computing applications at Qualcomm's AI Research division. You will work with modern deep learning frameworks (PyTorch), optimize neural network models for embedded deployment, and integrate cutting-edge AI technologies into mobile, IoT, and autonomous systems.…See more The role requires strong Python and C/C++ skills, deep learning expertise, embedded software development experience, and solid software engineering fundamentals.