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Lead AI Engineer

Lead AI Engineer

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About the Position

C2A Security is a fast-moving, industry-shaping startup leading innovation in product security. We help global software-defined product companies turn cybersecurity into a competitive advantage. We offer a flexible work model, including in-office, hybrid, or remote. Your impact matters more than your location.

We are progressively building the AI capabilities within our platform and exposing our platform’s capabilities as MCP (Model Context Protocol) servers so that AI agents can reason over what C2A can do, choose the right action, and execute it — with the judgment and guardrails a security product demands. This comes in parallel to the internal use of AI as part of the R&D and product development process. We are hiring someone to lead product level and internal team AI end-to-end: from protocol and architecture decisions to server-side implementation to the AI logic that decides when and how our tools are used, to internal processes that improve R&D and product development efficiency. This is a hands-on position with managerial aspects, not an advisory role. You will be building hands on in parallel to building the process and managing/guiding the team.

What You Will be Doing

  • Own the strategy and roadmap for C2A’s AI strategy within R&D and AI agents specifically,
  • Lead the AI adoption effort technically within the product and across the organization as the company learns how to become more efficient with AI usage for R&D.
  • Design and build MCP servers that expose our APIs as well-described, reliably usable tools for AI clients.
  • Build the AI decision layer — the prompting, tool schemas, and agentic logic that let a model select the right API, pass the right parameters, and recover gracefully from errors.
  • Implement complete, production-grade features end to end: backend services, data models, APIs, and the AI integration on top, not prototypes.
  • Define how AI-accessible APIs are scoped, authenticated, and permissioned, so an agent can only ever do what it is authorized to do. Security is the product, this matters.
  • Build evaluation and observability for the AI layer: measure tool-selection accuracy, catch regressions, and trace agent behavior in production.
  • Set engineering standards and mentor others as the effort grows into a team.
  • Implement new features required by our cybersecurity product.

What You Need for the Role

  • 6+ years building and shipping production backend systems, including experience leading technical initiatives, processes and teams.
  • 5+ years’ experience managing engineers, hiring, running 1:1s, giving feedback, and developing people, not just tech-leading.
  • Strong server-side engineering in at least two of: Node.js / JavaScript, Python, Java. Able to own a feature from data model to API.
  • Solid PostgreSQL — schema design, query writing and optimization, working with relational data at scale.
  • Proven experience designing and operating APIs (HTTP/REST/GraphQL) and a working command of auth and access control: OAuth 2.0, API keys, scopes, and RBAC.
  • Hands-on experience building LLM-powered features in production — direct work with LLM provider APIs (Anthropic, OpenAI, Gemini, Ollama or similar), function/tool calling, token optimization, structured outputs, and prompt engineering.
  • Experience with agentic systems: designing tool interfaces an LLM can use reliably, multi-step agent loops, and handling failure and recovery.
  • Working knowledge of MCP (Model Context Protocol) — or the depth in tool-calling and AI integration to ramp on it quickly — and a clear sense of what makes a tool definition easy for a model to use well.
  • Experience evaluating LLM systems: building eval suites, measuring tool-call and decision accuracy, and instrumenting AI behavior with tracing and observability.
  • A security mindset —treat prompt injection, untrusted inputs, least-privilege design, and data exposure as first-order concerns, not afterthoughts.
  • Comfortable in a small, fast-moving startup — high ownership, low hand-holding, and a willingness to build processes and infrastructure from scratch when needed.

 

Advantages

  • Retrieval and context engineering — RAG, embeddings, vector search, and semantic retrieval used to ground agents in API docs, schemas, and internal knowledge.
  • Experience running an MCP server, or a comparable AI-tooling integration, in production.
  • Cloud infrastructure (AWS / GCP / Azure), containers, and IaC.
  • Cybersecurity domain knowledge.
  • Open-source contributions to AI / agent tooling.
Apply now

About C2A Security

C2A Security is the only context-driven product security company built to support organizations developing software-defined and AI-enabled products. Our global customers and partners include leaders such as Bayer, Elekta, BMW Group, Daimler Truck AG, Deloitte, Siemens, Valeo, Marelli, NTT Data, and Orcanos. We transform cybersecurity into a business value multiplier through automated security and compliance, reducing release times, cutting costs, and streamlining product development.

Founded in 2016 and headquartered in Jerusalem, Israel, C2A is led by Michael Dick, a veteran of NDS and Cisco. C2A offers a strong company culture, significant growth opportunities, and the chance to work with a diverse and talented team on impactful projects that shape the future of product cybersecurity.

Think you are a good fit? We would love to hear from you.

EVSec Analysis (Dynamic Threat Modeling & Risk Assessment)

Dynamic threat modeling and risk assessment aligned with global regulations

WHAT THE MODULE DOES
  • Advanced cyber modeling of components, interfaces, and trust boundaries
  • Dynamic centralized catalogs: threats, attack trees, damage scenarios
  • Analytic attack trees with AND/OR logic and quantifiable feasibility
  • Live risk calculation that updates with every change
  • Automated work products: ISO/SAE 21434, UN R155, FDA, CRA, IEC 62443 and more
  • Version control and phase management in the evolution of the threat model
KEY BENEFITS
  • Threat analysis creation reduced from weeks to hours
  • Complex product architectures simplified into intuitive representations
  • Reuse of attack trees, scenarios, and controls across projects
  • Continuously updated risk posture: no stale documents
  • Full auditability of every change and AI recommendation

EVSec AutoSynth AI & MCP Services

LLM-agnostic generative AI layer powering automation across every module

WHAT THE MODULE DOES
  • Auto Analysis transforms architecture inputs into complete threat models and risk assessments
  • MCP Hub, MCP Server, and MCP Secure Gateway for agentic AI workflows
  • Agent-to-Agent (A2A) protocol for multi-agent collaboration
  • Guided security co-pilot for threat analysis and risk treatment
  • Data privacy: runs in your environment, with local LLMs via Ollama or integrating to public LLMs under the enterprise IT policy
KEY BENEFITS
  • Cuts lifecycle effort by up to 70 percent
  • End-to-end automation integrated with private AI instances
  • Unique, credible MCP data grounded in real product context

EVSec Threat Intelligence

Aggregated threat feed contextualized against your actual products

WHAT THE MODULE DOES
  • Multi-source aggregation
  • Automatic product-impact mapping via the cyber model
  • Integrated playbooks automate threat handling workflows
  • Confirmed threats update risk posture and compliance status
KEY BENEFITS
  • Controlled threat feed: fragmented sources unified in one pipeline
  • Context-based insights eliminate manual triage
  • Architecture-aware analysis cuts false positives

EVSec BOM & Vulnerability Management

Generate, manage, and triage all BOMs and vulnerabilities across the lifecycle

WHAT THE MODULE DOES
  • Centralized BOM management with version control and approvals
  • Multi-format ingestion including binary and code analysis
  • Multi-source vulnerability intelligence
  • Context-based automatic triage against the cyber model
  • Code-level reachability analysis and AUTOSAR-specific support
  • VEX, VDR, and CSAF reporting for regulatory disclosure
KEY BENEFITS
  • Vulnerability noise reduced by 80 to 97 percent
  • Vast format support across every major industry
  • Regulatory-ready VEX, VDR, and CSAF reports from live data
  • Product-specific exploitability beyond raw CVSS scores

EVSec Risk Center

Quantitative optimization of mitigation strategy and security control allocation

WHAT THE MODULE DOES
  • Consolidated risk view across all product layers and systems
  • Optimization solvers calculate minimum control set for target risk
  • What-if scenario modeling with quantitative impact
  • Continuous risk recalculation as mitigations are applied
  • Security control traceability to threats, attack paths, and tickets
KEY BENEFITS
  • Continuously optimized risk posture across the lifecycle
  • Cost and effort optimization for selected mitigations
  • Data-driven decisions in place of subjective prioritization
  • Every risk change tracked for regulatory compliance

EVSec BI & Analytics

Configurable dashboards and reports across every EVSec data layer

WHAT THE MODULE DOES
  • Customizable role-specific dashboards embeddable in EVSec pages
  • Real-time data: every visualization updates with changes
  • Curated datasets for common analytics scenarios
  • External BI connectivity: Power BI, Tableau, and other BI tools
  • Multi-format reports in PDF, Word, and Excel
KEY BENEFITS
  • Raw data transformed into decision-ready intelligence
  • Faster decision-making with no reporting delays
  • Cross-team collaboration on shared dashboards

EVSec Binary Analysis

Extract software composition and risk from firmware and binaries without source code

WHAT THE MODULE DOES
  • GenAI-enhanced decomposition of stripped or obfuscated binaries
  • Broad format coverage
  • Detection of credentials and secrets, API keys, and crypto misconfigurations
  • Findings flow into the cyber model for context-based risk scoring
KEY BENEFITS
  • Deep firmware visibility into components and vulnerabilities
  • AI-enhanced accuracy on proprietary and non-standard formats
  • Thorough analysis of supplier-delivered binaries without source code access

EVSec Network & Endpoint Protection

Optimized anomaly detection for Ethernet and CAN, plus ECU runtime protection

WHAT THE MODULE DOES
  • Multi-layer network protection on Ethernet and CAN
  • Threat-analysis-driven IDS configuration and rule priority
  • Resource-optimized IDPS orchestration across MCUs
  • ECU-level endpoint protection against zero-day attacks
  • OTA-updatable protection profiles without code changes
KEY BENEFITS
  • Enhanced autonomic security independent of connectivity
  • Security monitoring driven by the product threat model
  • Maximum security coverage within hardware resource constraints

EVSec Fleets

Quantify and manage cybersecurity risk for products operating in the field

WHAT THE MODULE DOES
  • Fleet-level risk calculation across all deployed versions and configurations
  • Financial risk quantification: monetary exposure for executives
  • Remediation strategy optimization: recall vs OTA vs config change
  • Policy management with fleet-wide enforcement and monitoring
KEY BENEFITS
  • Strategic financial insight for executive decisions
  • Resource allocation prioritized by real risk exposure
  • Continuous fleet visibility for regulatory reporting

EVSec SOC Enrichment & Analytics

Enrich SOC events with deep product and architecture context

WHAT THE MODULE DOES
  • Product-context enrichment with threat model, BOM, and attack paths
  • Hybrid cloud-product model combining analytics with telemetry
  • Dynamic IDS rule generation from threat analysis results
  • SIEM integration with ServiceNow SecOps, Splunk, and more
KEY BENEFITS
  • Accurate threat detection beyond generic IT tooling
  • Advanced prioritization that reduces alert fatigue
  • Faster response times via fully enriched events

EVSec Attacker (Test & Validation)

Context-driven test and validation with intelligent fuzzing, integrated into CI/CD

WHAT THE MODULE DOES
  • Context-driven test generation from threats and attack paths
  • Intelligent fuzzing seeded by threat analysis results
  • Supports protocol, configuration, and edge-case campaigns
  • Security control validation in real product implementations
KEY BENEFITS
  • Early risk detection: testing shifts left in the lifecycle
  • No source code required for supplier-delivered components
  • Context-based prioritization of test results using cyber model

EVSec Source Code Analysis

AI-powered static analysis integrated into CI/CD with reduced false positives

WHAT THE MODULE DOES
  • AI-enhanced static analysis using AutoSynth AI for code context
  • Broad language support
  • Automatic CWE mapping with severity classification
  • License and IP risk detection with code snippet scanning
  • CI/CD integration
KEY BENEFITS
  • Higher accuracy and fewer false positives than traditional SAST
  • Seamless DevOps integration without disrupting velocity
  • Proactive identification of open-source license obligations

EVSec Base

Foundational layer: cyber model, workspaces, and integration backbone to DevOps toolchain

WHAT THE MODULE DOES
  • EVSec Workspaces for multi-system composition and aggregated risk
  • Any-to-any DevOps integration
  • Role-based access control with delegation to suppliers
  • Full REST API and GraphQL for every platform operation
KEY BENEFITS
  • Centralized visibility across all products and suppliers
  • Secure collaboration with parallel work across distributed teams
  • Real-time sync between security analysis and engineering changes
  • End-to-end traceability and audit trails

EVSec Workflow Automation

Out-of-the-box and customizable workflows for regulatory and security processes

WHAT THE MODULE DOES
  • Visual workflow builder with steps, conditions, and approval gates
  • Pre-built regulatory workflows: CSMS, CRA, IEC 62443, NIST CSF, DoRA
  • Task management across teams and suppliers with dashboards
  • External system integration with DevOps and compliance platforms
KEY BENEFITS
  • Replaces manual compliance with automated, repeatable workflows
  • Audit-ready evidence: every execution and approval is logged
  • Transparent real-time visibility of workflow status and progress for all teams

EVSec Compliance Center

Centralized compliance management with evidence generated from live data

WHAT THE MODULE DOES
  • Multi-framework reporting for all major regulations + custom frameworks
  • AI-powered validation maps requirements to evidence and flags gaps
  • Automated Declaration of Conformity and regulator-facing artifacts
  • Live compliance tracking with audit-readiness dashboards
KEY BENEFITS
  • Reduced audit overhead via automated evidence gathering
  • Adapts to any automotive, medical, industrial global or custom framework
  • Accelerated time from analysis to submission-ready package