Senior Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement production-grade autonomous agent networks utilizing ADK, A2A communication, and agentic frameworks.

• Automate workflows for multi-step security triage and investigative processes.

• Take ownership of model selection, prompt engineering/harnessing, context retrieval, RAG pipelines, agent orchestration, and automated evaluation/observability.

• Manage context windows effectively while optimizing token budgets.

• Implement strategies for prompt caching and pruning.

• Reduce latency in real-time RAG, function-calling, and multi-agent interaction loops.

• Work collaboratively with engineering teams to integrate agentic functionalities into applications for customers and analysts.

• Design secure AI architectures that enforce customer data isolation, zero-leakage context management, and enterprise-grade privacy controls.

• Set standards for LLM development and agent evaluation pipelines.

• Enhance AI engineering practices throughout the organization.

• Manage AI/LLM solutions from the initial concept and prototyping phase through to production rollout, monitoring, and iterative improvements.

• Create scalable data access patterns alongside modular service/repository architectures.

• Develop and deploy AI and agentic automation solutions to safeguard global enterprises against cyber threats.

• Collaborate with product managers and security analysts to deliver features that provide operational value.

⛳️ Requirements

• Over 5 years of experience in software engineering.

• Experience in production coding, rather than solely working with notebooks.

• Extensive hands-on experience with the Agent Development Kit (ADK).

• Proven track record of integrating LLMs into production settings.

• Knowledge of prompt engineering/harnessing, context management, RAG architectures, agent frameworks, evaluation, and observability.

• Strong expertise in React 18/19 and TypeScript.

• Familiarity with React Router v7 and contemporary routing patterns.

• Experience in designing schemas and writing queries for PostgreSQL and Firestore.

• Understanding of modern ORMs and runtime validation.

• Experience in designing secure multi-tenant AI architectures that ensure strict customer data isolation.

• Solid comprehension of scalable, highly available cloud-native system design.

• Experience collaborating closely with product teams to deliver user-facing features.

• Demonstrated ownership of AI/LLM solutions from concept and prototyping to rollout, monitoring, and iterative production improvements.

• Practical experience deploying modern LLMs, agent frameworks, ADKs, or A2A protocols in production.

• Proficient in balancing performance, token usage, context-window limitations, and latency within RAG or multi-agent frameworks.

• High proficiency in writing production code, designing database schemas, and optimizing performance across React 18/19, TypeScript, PostgreSQL, and Firestore.

• Experience with secure multi-tenant AI systems that require the separation of customer data and adherence to compliance boundaries.

• Practical knowledge of prompt harnessing, multi-agent orchestration, function calling/tool usage, evaluation frameworks, and LLM observability.

• Experience in cloud-native AI environments, preferably Vertex AI/GCP, with AWS/Azure also considered valuable.

• Familiarity with Claude, Gemini, GPT-4, Llama, and Mistral.

• Competence in data engineering across relational and document databases.

• Ability and eagerness to collaborate with product managers and security analysts.

• Preferred: Experience with Terraform or similar Infrastructure as Code (IaC) tools.

• Preferred: Familiarity with cloud security tools such as Google Cloud SecOps, Security Command Center, Mandiant, or SOAR systems.

• Preferred: Experience with multi-modal workflows, streaming agent architectures, or custom agent routing engines.

🏝️ Benefits

• Vendor and technical training fully funded by the employer.

• Supportive peer code reviews coupled with in-depth technical mentorship.

• Comprehensive medical coverage.

• Employer-paid dental plan.

• Short-term disability (STD) plan.

• Long-term disability (LTD) plan.

• Paid vacation starting at 3 weeks, increasing to 4 weeks based on tenure.

• Paid sick leave.

• 10 paid company holidays, including a floating holiday.

• 401(k) company matching: 100% on the first 3% contributed and 50% on the next 2%.

• Access to a modern tech stack and adherence to best practices.

• Focus on developer well-being.