Senior AI Engineer (f/m/x)

Lever, Inc.; Portugal; Teletrabalho; EUR 80 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote work

Vienna office option

Flexible hours

Learning budget

Wellbeing sessions

Internal workshops

Office weeks 3x per year

AI initiatives impact

Ownership culture

International environment

Technical ownership

Resumo da oferta

Lever, Inc. is seeking a Senior AI Engineer (f/m/x) for a senior backend engineering focus in building internal AI infrastructure. The role emphasizes production-grade AI tools, platform development, security, and enterprise governance.

You will shape priorities with technology leadership and own reusable AI capabilities across the org. Based in Europe, including the UK, with a remote-first setup and optional Vienna office.

Qualificações

• Significant senior backend experience in production systems.
• Hands-on experience building AI/LLM-powered applications for production use.
• Security-conscious engineering mindset with identity, access control, and data handling knowledge.
• Familiarity with AI tooling and emerging concepts like reusable skills and agent workflows.

Responsabilidades

• Design, build, deploy, and operate backend services for internal AI apps.
• Create secure deployment pathways with guardrails for non-engineering teams.
• Develop shared AI capabilities, plugins, and central registry for internal tools and costs.
• Define technical direction and governance for the internal AI platform.
• Drive adoption via demonstrations, docs, and cross-team collaboration.

Conhecimentos

Go

Python

Backend engineering

AI/LLM

Security-minded

Cloud platforms

Ferramentas

Claude Code

Codex

Cursor

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer (f/m/x) based in Portugal.

This is a senior backend engineering role focused on building the internal AI infrastructure that enables an organisation to become truly AI-native.
You’ll take AI-powered tools from early prototypes through secure, reliable, and scalable production deployment.
The role combines backend engineering, AI/LLM applications, platform development, security, and internal product enablement.
You’ll work closely with senior technology leadership and engineering teams to assess opportunities, shape priorities, and deliver high-impact solutions.
A major part of the role involves creating reusable AI capabilities, governance frameworks, deployment pathways, and tools that can be adopted across the organisation.
You’ll have substantial autonomy and ownership in a remote-first, high-performance environment where decisions are driven by impact, experimentation, and strong technical judgment.
The position is open to candidates across Europe, including the UK, who have the right to work.

Accountabilities

• Design, build, deploy, and operate reliable backend services, APIs, and integrations supporting internal AI applications and workflows.

• Develop secure and supported deployment pathways that allow non-engineering teams to launch internal AI tools with appropriate guardrails.

• Build shared AI capabilities, including reusable skills, plugins, MCP connectors, agent workflows, and a central registry covering internal tools, ownership, and costs.

• Develop company-wide AI services and standard tooling that help employees adopt AI effectively in their day-to-day work.

• Evaluate architecture, AI models, platforms, integrations, and build-versus-buy options using pragmatic technical and product judgment.

• Help define the technical direction, architecture, and scope of the internal AI platform.

• Establish risk-based review processes for internally developed AI applications and translate governance requirements into practical technical controls.

• Implement security safeguards covering identity, access control, sandboxing, model usage, secrets, and data handling.

• Move business-critical AI automations from individual machines and unsupported environments into reliable, maintainable infrastructure.

• Establish and continuously improve technical standards, runtimes, deployment practices, and engineering best practices for internal AI development.

• Partner with technology leadership and core engineering teams to turn AI strategy into scalable technical solutions.

• Drive adoption through demonstrations, documentation, integration support, and collaboration with departmental AI champions.

• Help teams overcome technical blockers and turn AI ideas into safe, maintainable, production-ready solutions.

• Maintain clear documentation so systems can be operated, maintained, and extended by other team members.

• Monitor developments in AI models, tools, coding assistants, and engineering practices, translating relevant advances into practical business opportunities.

Requirements

• Significant senior-level experience building and operating production backend systems using Go, Python, or a similar programming language.

• Demonstrated experience owning services end to end, including architecture, deployment, secrets management, monitoring, reliability, and ongoing operations.

• Hands‑on experience building AI- or LLM-powered applications for production use, with an understanding of model integration, evaluation, observability, and production failure handling.

• Familiarity with modern AI development tools and ecosystems, including AI coding assistants such as Claude Code, Codex, or Cursor.

• Understanding of emerging AI engineering concepts such as reusable skills, plugins, MCP integrations, agent workflows, and agent orchestration.

• Strong ability to evaluate technical options pragmatically and make sound decisions around architecture, model selection, integrations, and build-versus‑buy.

• Excellent technical and product judgment, including the ability to simplify initiatives, challenge assumptions, or recommend against building when appropriate.

• Strong communication and collaboration skills, with the ability to work effectively with non-technical stakeholders and treat internal users as customers.

• A security-conscious engineering mindset, with an understanding of identity, access control, secrets, data exposure, and secure system design.

• Strong ownership, autonomy, curiosity, and willingness to experiment, learn from failure, and continuously improve.

• Google Cloud Platform experience is a plus.

• Strong Go experience, or strong Python experience combined with an interest in working with Go, is advantageous.

• Experience with product discovery, corporate IT, identity and access management, or application security is a plus.

• Experience supporting an organisation through an AI transformation is advantageous.

• Candidates must be based in Europe, including the UK, and have a valid right to work.

Benefits

• Fully remote-first working environment with the flexibility to work from your preferred location.

• Option to work from a well-equipped office in Vienna, including a dog-friendly environment.

• Flexible working hours and autonomy to organise your schedule around your work and personal commitments.

• Dedicated learning budget to support courses, conferences, and other professional development opportunities.

• Access to private sessions with experts supporting personal growth and mental wellbeing.

• Regular internal workshops focused on skills development, knowledge sharing, and cross-functional collaboration.

• Company-wide office weeks held three times per year, combining in-person collaboration, workshops, and team-building activities.

• Opportunity to work on high-impact AI initiatives and help shape the organisation’s transition toward becoming AI-native.

• Culture focused on ownership, open feedback, experimentation, knowledge sharing, and fact-based decision-making.

• Inclusive and collaborative international working environment.

• Opportunity to take on significant technical ownership while working closely with senior technology leadership and engineering teams.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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