Forward Deployed Engineer
Tech Stack / Keywords
Firma i stanowisko
Tenarai specializes in building and delivering production-grade, AI-powered systems directly with customers, focusing on AI-first engineering and enterprise AI solutions.
Wymagania
- Minimum 7 years in software engineering, architecture, or technical delivery at Senior Developer or Technical Team Lead level.
- Demonstrated discovery-to-deployment work embedded with enterprise customers.
- Hands-on backend and integration engineering with APIs (REST/GraphQL), strong Python and Node.js skills.
- Experience with LLM API integration, tool calling, RAG, orchestration, and quality gate creation.
- AI-first engineering mindset using AI coding agents as junior developer proxies and reviewing their output.
- Fluency in reviewing, refactoring, and hardening LLM-generated code.
- Production discipline including zero-downtime mindset, CI/CD, containerization (Docker, Serverless), robust logging, database migrations, rollback, and incident response.
- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
- Deep security knowledge including OWASP fluency, secrets management, rigorous input validation, auth/authz, and PII handling.
- Strong communication skills to lead technical discussions with non-technical stakeholders.
Obowiązki
Design and deploy production AI systems:
- Design, build, and deploy production-ready AI systems in real customer environments.
- Implement agentic AI solutions including RAG, retrieval, orchestration, tool and function calling, and multi-step workflows.
- Translate ambiguous customer problems into shippable technical architectures with clear trade-offs.
- Move solutions from proof of concept to production with measurable adoption.
- Engineer for enterprise-grade quality: secure, scalable, observable, resilient.
Prove the system works, and keep proving it:
- Build evaluation harnesses with baseline quality metrics, regression gates, safety checks, and offline evaluations.
- Establish deployment patterns, evaluation loops, and monitoring frameworks that persist.
- Implement reliability patterns such as retries, fallbacks, idempotency, and safe failure modes.
- Instrument traces, dashboards, and alerts covering reliability, latency, and cost per outcome.
- Tune for performance and economics without trading away quality.
Build with AI coding agents, and be the editor of what they produce:
- Command AI coding agents (Cursor, GitHub Copilot, Devin, custom LLM scripts) and refine their output into robust production code.
- Act as technical editor for AI-generated code, catching failure modes before production.
Own the security posture of what you ship:
- Apply OWASP fluency, secrets management, input validation, correct auth/authz by default.
- Implement LLM-specific defenses against prompt injection, access controls, and PII boundaries.
- Embed security and privacy fundamentals in implementation.
Own end-to-end customer delivery:
- Lead delivery from discovery and architecture through rollout and operational readiness.
- Make pragmatic architectural decisions under pressure within existing stacks.
- Build and maintain integration plumbing: APIs, identity, data sources, legacy systems, observable data flow.
- Measure success by delivered impact and adoption.
Communicate at customer and executive altitude:
- Explain architecture, risks, and constraints to executives and non-technical stakeholders.
- Frame decisions across scope, reliability, speed, and cost; push back constructively when needed.
Transition delivery into durable ownership:
- Hand over systems with clear ownership, documentation, monitoring, and iteration plans.
- Mentor engineers in production-grade AI delivery practices and reusable reference architectures.
- Capture reusable patterns as accelerators and playbooks for future deployments.
Benefity
General benefits - depends on the form of employment:
- Hybrid work model combining office and remote work.
- Attractively located office with collaboration spaces.
- Onsite parking space for employees.
- Referral program with financial bonus.
- Life Insurance.
- Budget for development including language courses and career path in international environment.
- Access to internal Learning Platform with multiple professional growth trainings.
Lifestyle benefits:
- Access to MyBenefit platform (including Multisport).
- Team building activities.
- Charity initiatives.
- Working environment promoting diversity and inclusion.
Health benefits:
- Private medical care - Platinum Package.
Inne informacje
Informujemy, że administratorem danych jest Tenarai z siedzibą w 485 Alberto Way, Los Gatos, CA US (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowy. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.
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