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
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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.
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Design, build, and maintain FastAPI-based agent servers, including async/await endpoints, streaming responses, and health check endpoints.
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Implement comprehensive testing strategies — unit, integration, edge-case, and performance — for agents and services to ensure production reliability.
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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.
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Design secure tool execution patterns adhering to least-privilege access, allowlists, secrets management, audit logging, and validation controls against prompt injection/data exfiltration.
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Implement agent observability to include per-step traces, tool-call telemetry, cost/latency budgets, and SLO-based alerting.
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Design and build agent evaluation sets, adversarial tests, regression tests, and monitoring for safety/quality drift.
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Design and build RAG/retrieval pipelines using vector databases such as Chroma, Milvus, Weaviate, and Qdrant.
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Consult and collaborate with SMEs across Platform Engineering, Data Science, Security, Quality, and Product to ensure agent systems meet technical and operational requirements.
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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.
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Influence functional groups regarding operability, technical feasibility, engineering design, security posture, maintainability, and project schedule and documentation requirements.
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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.
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Lead containerized deployment, start-up, commissioning, and release qualification activities using Docker multi-stage builds, dependency management, and container health check best practices.
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Provide technical mentoring and oversight to less experienced engineers responding to and troubleshooting AI agent and service-related issues.
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Create, edit, and adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of engineering templates for agent development.
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Monitor agent performance and reliability, collect metrics and logs, and use data to identify and prioritize optimization opportunities.
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Perform ad-hoc and cross-functional projects assigned to support business needs and provide developmental opportunities. Create, edit and adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of templates.
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Performs ad-hoc and cross-functional duties and/or projects assigned to support business needs and provide developmental opportunities.
Education & Experience
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Bachelor's degree in Computer Science, Software Engineering, or a related field with 7+ years of relevant software development experience is required.
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3+ years of hands-on Python development experience, with strong proficiency in Python 3.12+ and modern language features (type hints, async/await, etc.) is required.
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3+ years of hands-on Typescript development experience is required.
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Experience with at least one AI agent framework (LangGraph, LangChain, CrewAI, or LlamaIndex) in a production or near-production setting is required.
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Experience building and running containerized applications with Docker, including multi-stage builds and foundational DevOps practices, is required.
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Experience with complex troubleshooting and system optimization in a regulated or enterprise environment is preferred.
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Experience working within an organization with formal change control, compliance, or audit requirements is preferred.
Knowledge, Skills, & Abilities
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Excellent interpersonal skills and ability to work effectively in a cross-functional team environment.
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Excellent technical writing, communication, and organizational skills, including the ability to produce concise READMEs, architecture documents, and runbooks.
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Strong knowledge of engineering principles required to support secure, production-grade AI services and infrastructure.
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Deep technical knowledge and hands-on experience with AI agent frameworks, orchestration patterns, and context-management strategies.
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Strong leadership skills, with the ability to mentor junior engineers and drive technical standards.
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Strong knowledge and proficiency in data analytics, monitoring, and observability tooling (metrics, logging, tracing, dashboards) for production AI services.
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Solid understanding of API design principles, error handling patterns, and security best practices for backend services.
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Familiarity with AI safety and guardrail patterns, including prompt hardening and content filtering methodologies.
Working Environment / Physical Environment
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This position will either work onsite in Dunkirk, NY.
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Regular work schedule is Monday – Friday, within standard business hours. Flexibility is available with manager approval.
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Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer.
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Lift and carry materials weighing up to 20 pounds
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This position requires extensive use of computer keyboards and monitors.
This position is eligible for a discretionary bonus and equity award. The annual base pay range for this position is below. The specific rate will depend on the successful candidate’s qualifications, prior experience as well as geographic location.
$153,000 (entry-level qualifications) to $170,000 (highly experienced) annually
The application window is anticipated to close on 60 days from when it is posted or sooner if the position is filled or closed.
ImmunityBio employees are as valuable as the people we serve. We have built a resource of robust benefit offerings to best support the total wellbeing of our team members and their families. Our competitive total rewards benefits package, for eligible employees, include: Medical, Dental and Vision Plan Options • Health and Financial Wellness Programs • Employer Assistance Program (EAP) • Company Paid and Voluntary Life/AD&D, Short-Term and Long-Term Disability • Healthcare and Dependent Care Flexible Spending Accounts • 401(k) Retirement Plan with Company Match • 529 Education Savings Program • Voluntary Legal Services, Identity Theft Protection, Pet Insurance and Employee Discounts, Rewards and Perks • Paid Time Off (PTO) includes: 11 Holidays • Exempt Employees are eligible for Unlimited PTO • Non-Exempt Employees are eligible for 10 Vacation Days, 56 Hours of Health Pay, 2 Personal Days and 1 Cultural Day • We are committed to providing you with the tools and resources you need to optimize your Health and Wellness.
At ImmunityBio, we are an equal opportunity employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.
