llm-apis jobs in San Diego

Lead the design and implementation of AI-assisted HR systems at ServiceNow, owning agentic workflows, evaluation infrastructure, and production safety mechanisms for large-language-model-powered employee-relations features. You will author and refine prompts and agent instructions, build multi-turn evaluation suites with drift detection and CI gating, and ensure entitlement-aware data handling across retrieval and tool layers.…See more Collaborate across product and engineering to translate business requirements into robust technical designs, and drive hands-on integration, migration, and incident resolution on customer-facing systems. Requires 10+ years of software engineering with direct production LLM experience, orchestration migrations, system design rigor, and proficiency in Java, JavaScript/TypeScript, and React.

Build and deploy production-ready AI solutions using LLM orchestration platforms (LangChain, LangGraph, CrewAI, n8n) and agentic workflows that integrate with existing data infrastructure like Snowflake. Develop sophisticated prompt engineering and RAG systems with vector databases, conduct independent data analysis to identify AI opportunities, and translate technical work into clear insights for leadership.…See more Move solutions from concept to deployed, maintainable tools with proper documentation and intuitive interfaces. Collaborate cross-functionally with data scientists, analysts, and stakeholders to drive organizational impact.

Software engineer responsible for building and integrating applications across laboratory systems, data pipelines, and enterprise platforms in an oncology context. The role emphasizes full-stack development (Python/Django/Flask backend, JavaScript/TypeScript frontend), cloud deployment on AWS, CI/CD and containerization practices, and increasingly AI-enabled capabilities such as LLM-powered data access and agentic workflows.…See more Requires 4+ years of professional software engineering experience, strong collaboration with scientific and operational stakeholders, and ownership of application reliability, documentation, and lifecycle planning.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

As a Full Stack Engineer at Nucleus Biologics, you will develop and maintain software tools for scientists and manufacturing teams. Responsibilities include EC2 and RDS administration, Docker container lifecycle management, PostgreSQL database maintenance, monitoring ERP/QMS sync jobs, and resolving customer and internal issues.…See more You'll need strong Python (FastAPI/Django/Flask), React/TypeScript, PostgreSQL, and practical DevOps skills with AWS (EC2, RDS, S3), Linux, Docker, and Nginx.

Build and own the software layer connecting Fabric8Labs' electrochemical 3D printers to operators and business systems. Design PostgreSQL schemas and write Python backend services that interact with printers and edge devices in real time, build production dashboards and operator interfaces, and create integrations between shop-floor systems and ERP for work order flow, material tracking, and production reporting.…See more You'll work hands-on with hardware engineers, materials scientists, and operators to solve manufacturing workflow problems with direct, immediate feedback. The role requires 4+ years shipping production software, strong Python and PostgreSQL expertise, Linux proficiency, and JavaScript for UI—with a focus on understanding customer needs and building reliable, traceable systems.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.

Build and integrate oncology applications across laboratory systems, data pipelines, and enterprise platforms at Eli Lilly. Develop AI-enabled capabilities for data retrieval, extraction, and analysis while owning application reliability, user support, and lifecycle planning.…See more Deploy on Lilly cloud infrastructure using modern server-side frameworks (Python/Django/Flask preferred), front-end technologies (JavaScript/TypeScript), relational databases, and CI/CD pipelines. Mentor junior engineers and collaborate directly with scientific and operational stakeholders.

Lead the design and deployment of AI agents and automation tools across Intuit's talent acquisition function. You'll partner with TA teams to identify high-impact AI opportunities, build working prototypes using LLM APIs and agent frameworks, establish governance and performance metrics for deployed agents, and translate validated solutions into production requirements with engineering teams.…See more This role requires both deep TA domain expertise and hands-on AI implementation experience—you'll move from problem discovery through prototype validation to scaled deployment while maintaining human oversight and compliance.

The Business Process Automation Specialist will architect and maintain custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and third-party platforms (Zapier, Make.com, Asana, HubSpot, Slack, Looker Studio) to eliminate manual work and keep data in sync. The role includes identifying and building production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing.…See more You'll design end-to-end automated processes for client onboarding, reporting, and HR workflows while driving adoption through documentation, SOPs, and end-user support. This requires 5+ years of business process improvement or systems integration experience, strong Google Apps Script (JavaScript) proficiency, hands-on knowledge of REST APIs and webhooks, and ability to translate business problems into scoped solutions without over-engineering.

Business Systems Analyst responsible for architecting and building automation infrastructure across Google Workspace, Asana, HubSpot, and other enterprise tools using Google Apps Script, Zapier, and Make.com. The role includes designing AI workflows with LLMs (Gemini, Claude, ChatGPT) for process automation, integrating REST APIs and webhooks, and eliminating manual data entry through real-time syncing and validation.…See more You'll drive adoption through documentation, training, and end-user support while continuously identifying opportunities to redesign processes before automating them. Requires 5+ years of business process improvement and systems integration experience with strong proficiency in Google Apps Script (JavaScript), advanced Google Sheets, and no-code automation platforms.

Business Systems Analyst responsible for architecting and maintaining custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and integrating third-party platforms like Asana, HubSpot, Slack, and Looker Studio. You will identify and build production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing, while eliminating manual data entry and automating end-to-end processes such as client onboarding and reporting pipelines.…See more You'll drive adoption through documentation, training, and governance, and partner with IT on infrastructure and access controls. The role requires translating vague business problems into shippable solutions, challenging stakeholders on process redesign vs. automation, and shipping high-impact MVPs iteratively.