Senior Applied AI Engineer

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

📋 Description

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

• Automate complex security triage and investigation processes.

• Take responsibility for model selection, prompt engineering, RAG pipelines, agent orchestration, as well as evaluation and observability frameworks.

• Oversee context management, optimize token budgets, implement prompt caching and pruning, and reduce latency in multi-agent interaction loops.

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

• Create secure AI architectures that ensure customer data isolation, zero-leakage context management, and enterprise-level privacy controls.

• Set standards for development using LLMs and agent evaluation pipelines.

• Enhance AI engineering practices throughout the organization.

• Manage AI/LLM solutions from initial concept and prototyping to deployment, monitoring, and iteration in a production environment.

• Collaborate with product managers and security analysts to provide user-facing features and operational efficiencies.

⛳️ Requirements

• A minimum of 5 years of experience in software engineering.

• Strong foundational knowledge in production software engineering; ability to produce clean, tested, and maintainable code.

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

• Demonstrated ability to integrate LLMs into production settings.

• Knowledge of prompt engineering or harnessing, context management, RAG architectures, agent frameworks, as well as evaluation and observability practices.

• Advanced proficiency in React 18/19 and TypeScript.

• Familiarity with React Router v7 and contemporary routing methodologies.

• Experience in designing schemas, crafting queries, and analyzing performance for PostgreSQL and Firestore.

• Understanding of modern ORMs and runtime validation at system boundaries.

• Background in creating secure multi-tenant AI architectures with stringent customer data isolation.

• Strong grasp of scalable and highly available cloud-native system design.

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

• Proven track record of managing AI/LLM solutions from concept through to production rollout, monitoring, and iterative improvement.

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

• Ability to balance performance, token usage, context-window limitations, and latency in sophisticated RAG or multi-agent setups.

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

• Experience with secure multi-tenant AI systems that require strict customer data separation and compliance boundary enforcement.

• Background in cloud-native AI environments; experience with Vertex AI/GCP is preferred, while familiarity with AWS/Azure multi-cloud setups is also welcomed.

• Knowledge of Claude, Gemini, GPT-4, Llama, and Mistral.

• Comfortable working with relational and document database engineering across PostgreSQL and Firestore.

• Nice to have: proficiency with Terraform or similar Infrastructure as Code (IaC) tools.

• Nice to have: experience or interest in Google Cloud SecOps, Security Command Center, Mandiant, or SOAR systems.

• Nice to have: experience with multi-modal inputs/outputs, streaming agent architectures, or custom agent routing engines.

🏝️ Benefits

• Fully funded vendor and technical training approved by the employer.

• Supportive peer code reviews and comprehensive technical mentorship.

• Extensive medical coverage.

• Company-sponsored dental coverage.

• Short-term disability (STD) plan.

• Long-term disability (LTD) plan.

• Paid Time Off (PTO) beginning with 2 weeks of paid vacation, increasing to 4 weeks based on tenure.

• Paid sick leave.

• 10 paid company holidays, including a floating holiday.

• 401(k) company match: 100% of the first 3% contribution and 50% of the next 2% contribution.

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

• Opportunity to work on impactful AI and automation projects.

• Focus on developer well-being.