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Sedric

AI Engineering Tech Lead – Hands-on

Sedric

. Design and own Sedric's AI reference architecture end to end .

Posted 10/11/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI architecture and backend development, with a strong focus on building and optimizing AI systems in a multi-tenant SaaS environment. Proven ability to mentor engineers and translate technical concepts for stakeholders.

Highest-signal resume keywords
AI Architecture ExperienceBackend DevelopmentProduction Code WritingAI Governance SetupStakeholder Interface

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningAI Systems DevelopmentBackend Architecture DesignProduction MonitoringModel OptimizationSaaS Environment ExperienceCode ReviewAI Evaluation HarnessesPrompt EngineeringLatency Optimization
Soft Skills
MentoringCustomer InteractionTechnical Translation
Certifications & Qualifications
Relevant Degree
Industry Keywords
Multi-Tenant SaaSAI Quality EvaluationAgentic SystemsProduction SystemsTechnology Roadmap

About the role

Key responsibilities & impact
  • Design and own Sedric's AI reference architecture end to end
  • Lead architecture reviews and set the technology roadmap
  • Design and build backend architecture for AI agents, LLM pipelines, and retrieval systems
  • Write a large share of the production code
  • Take AI capabilities from prototype to production in a multi-tenant SaaS environment
  • Optimize model selection, prompt and token efficiency, caching, batching, latency, and infrastructure spend
  • Build production monitoring and evaluation for AI quality, accuracy, false positives, drift, and cost per customer
  • Set engineering standards for AI development
  • Mentor engineers through pairing, code reviews, and design reviews
  • Bring new AI techniques into the product and prove them in production
  • Monitor how systems perform with real customers
  • Report to the AI team Dev Team Lead

Requirements

What you’ll need
  • 5+ years of ML/AI architecture experience in a SaaS company
  • 3+ years of backend development experience
  • Experience building agentic systems with tool use, planning, and multi-step reasoning in production
  • Experience setting up AI governance and evaluation harnesses from scratch
  • Proven, hands-on experience with AI in production systems
  • Ability to take a project from concept to shipped and interface with stakeholders throughout
  • Relevant degree
  • Comfortable in front of customers and executives, translating technical tradeoffs into business terms

Benefits

Comp & perks
  • Meaningful equity in a high-growth compliance AI company
  • Direct access to leadership — no bureaucracy between you and impact
  • Flexible, output-first culture
  • Work on problems that matter in an industry that’s ready to change