Software Engineer, AI

🕒 May 4

🏄 California – Remote

🏄 California – Remote

💵 $130.5k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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ImmunityBio, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

ImmunityBio, Inc. is a biotechnology company focused on developing innovative immunotherapies to enhance the immune system's ability to fight cancer and infectious diseases. By harnessing the power of the body’s immune response, ImmunityBio aims to provide breakthrough treatments that can improve patient outcomes and longevity in challenging diseases.

📋 Description

• 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. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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 • Tools and resources to optimize your Health and Wellness