Software Engineer, AI

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

💵 $130 500 - $145 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

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ImmunityBio, Inc.

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501 - 1000 employés

🧬 Biotechnologie

⚕️ Assurance santé

💊 Pharmaceutique

Biotechnology • Healthcare Insurance • Pharmaceuticals

ImmunityBio, Inc. est une entreprise de biotechnologie axée sur le développement d'immunothérapies innovantes pour renforcer la capacité du système immunitaire à combattre le cancer et les maladies infectieuses. En exploitant la puissance de la réponse immunitaire de l'organisme, ImmunityBio vise à fournir des traitements révolutionnaires qui peuvent améliorer les résultats et la longévité des patients atteints de maladies difficiles.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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