Core Applied AI Engineer Agentic AI & Security

BIRDSVUE LLC; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

401(k)

Employee discounts

Job summary

BIRDSVUE LLC is seeking a Core Applied AI Engineer to architect and deploy secure, autonomous agents that manage enterprise workflows across APIs, databases, and SaaS platforms.

The role focuses on context and harness engineering, secure tool invocation, and automated decision-making within enterprise environments. Remote US-based position with strong emphasis on security and governance.

Qualifications

• Engineering experience building production-grade agentic AI systems.
• Core AI expertise in context engineering, harness engineering and orchestration.
• Security background with API, data, or cloud security knowledge.
• Understanding enterprise IAM, RBAC, policy enforcement concepts.
• Strong analytical and communication skills bridging technical and business needs.

Responsibilities

• End-to-End Workflow Automation: Design and deploy AI agents that automate complex business processes across enterprise systems.
• Reliability & Observability: Improve agent performance, observability, and traceability of tool calls.
• Cross-Functional Collaboration: Work with Product, Data, Platform, and Security teams to embed AI capabilities.
• Security & Governance: Implement guardrails for tool invocation, data access, and decision-making.
• Observability, Testing & Evaluation: Build telemetry and auditing for agent reasoning and actions.
• Adversarial Testing: Create evaluation pipelines to test agent behavior under adversarial scenarios.

Skills

Engineering Experience

Core AI Expertise

Security Background

Enterprise Security Knowledge

Analytical & Communication Skills

Job description

Benefits:

• 401(k)
• Employee discounts

Core Applied AI Engineer – Agentic AI & Security (W2 POSITION ONLY, NO C2C OR 1099)

Introduction

Our client is seeking a Core Applied AI Engineer to architect and deploy end-to-end agentic workflows that automate critical business processes. The ideal candidate pairs deep expertise in core applied AI—including reasoning, orchestration, context engineering, and harness engineering—with rigorous security engineering. This role moves far beyond traditional RAG or conversational chatbots. You will build secure, autonomous agents capable of reasoning, decision-making, API/tool invocation, and safe integration within complex enterprise environments.

Responsibilities

Agentic Architecture & Orchestration

• End-to-End Workflow Automation: Design and deploy AI agents that execute complex business processes across enterprise APIs, databases, SaaS platforms, and MCP/tool servers.
• Reliability & Optimization: Utilize context engineering and harness engineering to optimize agent performance, control, observability, and traceability.
• Cross-Functional Collaboration: Partner with Product, Data, Platform, and Security teams to embed AI capabilities seamlessly into enterprise infrastructure.

Agentic Security & Governance

• Security Controls & Guardrails: Design robust guardrails governing agent tool invocation, API access, data retrieval, and autonomous decision-making.
• Threat Mitigation: Protect systems against agent-specific vulnerabilities, including direct/indirect prompt injection, context poisoning, tool abuse, privilege escalation, and data exfiltration.
• Identity & Access Management: Implement least-privilege access models, service identities, OAuth/OIDC, RBAC/ABAC, and secure secrets management.
• Human-in-the-Loop: Establish automated and manual checkpoints requiring approval where business or security risk thresholds demand it.

Observability, Testing & Evaluation

• Telemetry & Auditing: Implement tracing and monitoring frameworks to log agent reasoning, decision paths, tool calls, and downstream actions.
• Adversarial Testing: Establish rigorous evaluation pipelines to test agent behavior, security boundaries, and failure modes under adversarial scenarios.

Requirements

Required Skills

• Engineering Experience: Proven track record of building and deploying production-grade agentic AI systems or autonomous workflows.
• Core AI Expertise: Deep proficiency in context engineering, harness engineering, reasoning loops, and agent orchestration.
• Security Background: Strong foundation in application, API, data, or cloud security, with specific experience securing AI architectures.
• Enterprise Security Knowledge: Familiarity with LLM threat vectors (prompt injection, excessive agency, data leakage) alongside traditional IAM, least-privilege, and policy enforcement models.
• Analytical & Communication Skills: Excellent problem-solving capabilities with the ability to bridge technical and business requirements effectively.

Preferred Skills

• Experience with Model Context Protocol (MCP), multi-agent architectures, or agentic frameworks.
• Background in AI security frameworks, threat modeling, red teaming, or adversarial testing.
• Proficiency in cloud security (Azure, AWS, or Google Cloud Platform) and large enterprise data platforms.
• Experience integrating AI agents with transactional systems such as ERP, CRM, or commerce platforms.

Key Interview Discussion Areas

Candidates for this role should be prepared to discuss hands-on experience addressing:

• Determining and enforcing strict operational boundaries and permissions for an AI agent.
• Securing an agent's context, memory, tool servers, and execution environment.
• Detecting and mitigating prompt injection and context manipulation.
• Designing audit trails and telemetry for agent reasoning and tool execution.
• Constructing adversarial testing frameworks to validate agent reliability.

This is a remote position.