Senior Software Engineer, AI

Benefits

Additional Information

Company Overview ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patient's natural immune system, potentially enabling it to outsmart the disease and eliminate cancerous or infected cells. We envision a day when we no longer fear cancer, but can conquer it, thanks to the biological wonder that is the human immune system. Our scientists are working to develop novel therapies that harness that inherent power by amplifying both branches of the immune system, attacking cancerous or infected cells today while building immunological memory for tomorrow. The goal: to reprogram the patient's immune system and treat the host rather than just the disease. Why ImmunityBio? - ImmunityBio is developing cutting-edge technology with the goal to transform the lives of patients with cancer and develop next-generation therapies and vaccines that complement, harness and amplify the immune system to defeat cancers and infectious diseases. - Opportunity to join a publicly traded biopharmaceutical company with headquarters in Southern California. - Work with a collaborative team with the ability to work across different areas of the company. - Ability to join a growing company with professional development opportunities. Position Summary The Senior Software Engineer - AI is a hands-on, systems-level role integrating data engineering, software development, and AI agent architecture, with close collaboration across platform engineering, data science, security, and product teams. The Senior Software Engineer - AI will serve as a subject matter expert (SME) in AI agent development and will work with cross-functional teams for successful implementation of production-grade AI systems. This role supports Engineering leadership in driving appropriate change control, maintaining project schedules and quality standards, designing and programming AI agent systems, and providing technical support for daily AI-powered operations - including the specification, deployment, and continuous improvement of agent frameworks and supporting infrastructure. Essential Functions Subject Matter Expert for the design, development, maintenance, and deployment of AI agent systems, including one or more of LangGraph StateGraph patterns, CrewAI multi-agent orchestration, LlamaIndex data/agent workflows, or related frameworks. Design, build, and maintain FastAPI-based agent servers, including async/await endpoints, streaming responses, and health check endpoints. Implement comprehensive testing strategies - unit, integration, edge-case, and performance - for agents and services to ensure production reliability. Build and enforce guardrails for AI interactions, including input/output validation, safety checks, prompt hardening, policy enforcement, and robust errors handling in alignment with organizational security and compliance standards. Design secure tool execution patterns adhering to least-privilege access, allowlists, secrets management, audit logging, and validation controls against prompt injection/data exfiltration. Implement agent observability to include per-step traces, tool-call telemetry, cost/latency budgets, and SLO-based alerting. Design and build agent evaluation sets, adversarial tests, regression tests, and monitoring for safety/quality drift. Design and build RAG/retrieval pipelines using vector databases such as Chroma, Milvus, Weaviate, and Qdrant. Consult and collaborate with SMEs across Platform Engineering, Data Science, Security, Quality, and Product to ensure agent systems meet technical and operational requirements. Lead the creation, modification, and maintenance of AI system documentation, including architecture decision records (ADRs), runbooks, API specifications, network topology diagrams, data flow diagrams, and best-practice guides, maintained in a compliant and auditable state. Influence functional groups regarding operability, technical feasibility, engineering design, security posture, maintainability, and project schedule and documentation requirements. Assist with the planning and implementation of AI agent-based projects and solutions in collaboration with cross-functional teams, including determination and delivery on cost, timeline, and quality to ensure sustained production operations. Lead containerized deployment, start-up, commissioning, and release qualification activities using Docker multi-stage builds, dependency management, and container health check best practices. Provide technical mentoring and oversight to less experienced engineers responding to and troubleshooting AI agent and service-related issues. Create, edit, and adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of engineering templates for agent development. Monitor agent performance and reliability, collect metrics and logs, and use data to identify and prioritize optimization opportunities. P