Software Engineer – AI

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.

Position Summary

The Software Engineer – AI is a hands-on role integrating data engineering, software development, and AI agent architecture, working closely with platform engineering, data science, security, and product teams. The Software Engineer – AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering leadership by implementing change-controlled solutions, helping maintain project schedules and quality standards, and providing technical support for daily AI-powered operations — including the implementation and improvement of agent frameworks and supporting infrastructure.

Essential Functions

• Contribute to 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, following established architecture and coding standards.
• Implement comprehensive testing strategies unit, integration, edge-case, and performance for agents and services to ensure production reliability.
• Implement and extend guardrails for AI interactions, including input/output validation, safety checks, prompt hardening, policy enforcement, and robust error handling in alignment with organizational security and compliance standards.
• Implement secure tool execution patterns adhering to least-privilege access, allowlists, secrets management, audit logging, and validation controls against prompt injection/data exfiltration under guidance from senior engineers.
• Implement agent observability including per-step traces, tool-call telemetry, cost/latency budgets, and SLO-based alerting using existing monitoring and logging platforms.
• Help design and maintain 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, working with data and platform teams on schema and performance.
• Collaborate with SMEs across Platform Engineering, Data Science, Security, Quality, and Product to ensure agent systems meet technical and operational requirements.
• Contribute to 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.
• Provide technical input regarding operability, technical feasibility, engineering design, security posture, maintainability, and documentation requirements.
• Assist with the planning and implementation of AI agent-based projects and solutions in collaboration with cross-functional teams, helping deliver on cost, timeline, and quality targets.
• Implement and support 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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• Collaborate with and learn from senior engineers; may occasionally assist less experienced engineers through code reviews and pairing on troubleshooting AI agent and service-related issues.
• Follow and improve Standard Operating Procedures (SOPs), process improvements, and standard engineering templates for agent development.
• Monitor agent performance and reliability, collect metrics and logs, and use data to propose and implement optimization opportunities.
• Performs ad-hoc and cross-functional duties and/or projects as assigned to support business needs and provide developmental opportunities.

Education & Experience

• Bachelor’s degree in Computer science, Software Engineering, or a related field with 3+ years of relevant software development experience is required.
• 2+ years of hands-on Python development experience, with proficiency in Python 3.12+ and modern language features (type hints, async/await, etc.) is required.
• 2+ years of hands-on Typescript development experience.
• Experience with at least one AI agent framework (LangGraph, LangChain, CrewAI, or LlamaIndex) in a production or near-production setting is required.
• Experience building and running containerized applications with Docker, including multi-stage builds and foundational DevOps practices, is required.
• Experience with troubleshooting and system optimization in an enterprise or regulated environment is preferred.
• Experience working within an organization with formal change control, compliance, or audit requirements is preferred.

Knowledge, Skills, & Abilities

• Excellent interpersonal skills and ability to work effectively in a cross-functional team environment.
• Strong technical writing, communication, and organizational skills, including the ability to produce concise READMEs, architecture documents, and runbooks.

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• Solid understanding of engineering principles required to support secure, production-grade AI services and infrastructure.
• Strong working knowledge and hands-on experience with AI agent frameworks, orchestration patterns, and context-management strategies.
• Ability to take ownership of well-scoped projects and collaborate closely with senior engineers on larger initiatives.
• Proficiency in data analytics, monitoring, and observability tooling (metrics, logging, tracing, dashboards) for production services.
• Solid understanding of API design principles, error handling patterns, and security best practices for backend services.
• Familiarity with AI safety and guardrail patterns, including prompt hardening and content filtering methodologies.

Working Environment / Physical Environment

• This position will either work onsite in Dunkirk NY
• Regular work schedule is Monday – Friday, within standard business hours. Flexibility is available with manager approval.
• Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer.
• Lift and carry materials weighing up to 20 pounds
• 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.

$130,500 (entry-level qualifications) to $145,000 (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.

We invest in our people. Relocation assistance is available to eligible candidates ready to join us in building something extraordinary in Dunkirk, New York.

About Our Dunkirk Campus

Our Dunkirk campus is undergoing significant expansion as ImmunityBio builds one of the nation's premier commercial cell therapy manufacturing operations this is a ground-floor opportunity to shape the future of cell therapy production.

Located along the shores of Lake Erie, Dunkirk offers an outstanding quality of life, affordable living, and convenient access to Buffalo, Niagara Falls, Toronto, and year-round outdoor recreation.

Working Environment

This is an on-site role based at ImmunityBio's state-of-the-art Dunkirk, New York campus, where collaboration and innovation drive everything we do.

ImmunityBio uses artificial intelligence (AI) tools to assist with sourcing and identifying potential candidates for open positions. These tools help us reach qualified applicants and improve the efficiency of our recruitment outreach. No preference is given to applicants sourced or identified by AI tools.

Important: AI is not used to screen, evaluate, rank, assess, or make hiring decisions about applicants. All applications are reviewed by human recruiters and hiring managers. Hiring decisions are made solely by ImmunityBio personnel without automated decision-making.

We are committed to equal employment opportunity and ensure that all candidates are assessed based on their qualifications, skills, and experience through human review.

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.

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.