Senior Software Engineer (Applied AI) Ship agentic AI features from prototype to production.

JobCloud AG

Porto

Hybrid

EUR 80,000 - 120,000

Full time

47 hours ago

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Benefits offered by this job

Hybrid work in Porto

International collaboration

Personal training budget

Private health coverage

Job summary

JobCloud HR Tech, based in Porto, Portugal, seeks a Senior Software Engineer (Applied AI) to embed AI capabilities into the Recruiting Process Platform. You will own ambiguous problems, partner with Product and Design, and deliver production-ready solutions across the stack.

The role emphasizes AI-native engineering, code quality, security, and collaboration across international offices. Hybrid work in Porto with up to three on-site days per week, and growth opportunities.

Qualifications

5+ years of professional software engineering experience in a product-driven environment.
Strong experience designing and operating scalable cloud-native systems with observability and CI/CD.
Hands-on experience with AI assistants and coding agents as part of engineering workflows.
Strong experience with TypeScript, Python or strongly typed languages; production apps/services.
Experience owning services after launch with monitoring and production evidence.

Responsibilities

Build AI capabilities from prototype to production feature.
Own ambiguous engineering problems end to end and turn goals into technical plans.
Set technical direction and write production-ready code with security in mind.
Advance AI-native engineering and improve agentic workflows.
De-risk delivery, communicate risks, and own post-launch maintenance.

Skills

Software engineering

Cloud-native systems

AI assistants and agents

TypeScript/Python

Mentoring

English communication

Tools

Docker

Kubernetes

GitHub Actions

Terraform

Job description

Love what you do – we make employment happen!

The Senior Software Engineer (Applied AI) at JobCloud builds AI capabilities, including agentic ones, into JobCloud’s Recruiting Process Platform products. The role is based in Porto, Portugal, and hybrid, with on-site attendance up to three days a week when business needs require it.

Applied AI is a new team with one mission: build AI capabilities into the Recruiting Process Platform products. Data Science leads model building and training. The team owns product engineering from the first prototype to a commercial feature in production.

As Senior Software Engineer (Applied AI), you own ambiguous problems across the team’s whole surface. You are given a goal and define the path. You partner with Product and Design and work closely with upstream and downstream teams to take ideas from concept to production. JobCloud’s teams are distributed across several locations and work as one team.

This role suits engineers who turn a vague goal into working software, but get suspicious when an architecture diagram looks too tidy. You challenge the design and ship products. Your coding agent is not the one answering for the release.

WHAT IS JOBCLOUD HR TECH?

JobCloud HR Tech is the Porto, Portugal based company of JobCloud, Switzerland’s number 1 job ads brand and the company behind jobs.ch and jobup.ch. We build software that helps companies spend their hiring budget efficiently and get their job ads in front of the right candidates. Millions of job seekers and thousands of companies use our platform to find each other.

WHAT IS IT LIKE TO WORK AT JOBCLOUD?

We work as one team of experts in our field. Our culture is inclusive and respectful, and it is built on openness and collaboration. Your skills and motivation count. Your skin colour, gender and beliefs do not matter to us. Come as you are. Our purpose is “Love what you do.”

WHAT WILL YOU DO IN THIS ROLE?

AI capabilities: Build AI capabilities, including agentic ones, from the first prototype to a commercial feature in production. Work with Data Science, who lead model building and training.
Problem ownership: Own ambiguous engineering problems end to end. Turn goals into clear technical plans.
Technical direction and code: Set the technical direction for a project and write production-ready code. Address security from the start and make maintainable choices. Use design and code reviews to raise the team’s engineering bar.
AI-native engineering: Make AI-native engineering the default way of working. Use AI assistants and coding agents throughout software delivery and improve the team’s agentic workflows. Verify their output and stay accountable for code quality, security and production outcomes.
Delivery: De-risk before committing. Name the unknowns, sequence work and dependencies, and cut scope deliberately. Communicate risks honestly and renegotiate early when delivery is at risk.Ownership after launch: Own the area after launch. Verify releases, monitor reliability and usage, and lead troubleshooting. Turn recurring problems into structural improvements, and keep recovery options tested and operational knowledge shared.
Product partnership: Shape what gets built with Product Management and Design. Bring data and customer reality into decisions and challenge ideas that will not deliver value. Balance features against reliability, security, maintainability and cost.
Technical communication: Write clear technical proposals that explain decisions and trade-offs to engineers and non-engineers. Resolve disagreements and agree dependencies with peer teams.

WHAT SKILLS & EXPERIENCE WILL HELP YOU SUCCEED?

5+ years of professional software engineering experience in a product-driven environment.
Strong experience designing and operating scalable, cloud-native systems, including distributed or event-driven architectures, with observability and CI/CD.
Hands-on experience working with AI assistants and coding agents as a core part of the everyday engineering workflow. Critical verification of their output for correctness, security and quality.
Strong experience with TypeScript, Python or strongly typed languages. This includes designing, delivering and operating production applications or services.
Experience owning services after launch. Use of monitoring and production evidence to prevent recurring problems.
Experience helping other engineers grow through mentoring and review.
Business fluent in English.

WHAT TECH STACK DOES JOBCLOUD USE?

Languages: TypeScript, PHP, Python, Java and Kotlin
Frontend: Angular and React.js
Data and messaging: PostgreSQL, MongoDB and Apache Kafka, etc.
Tooling: GitHub (Actions, Copilot), Docker, Kubernetes, Terraform, CI/CD and AWS, etc.
Ways of working: Agile, Scrum, Roadmaps, etc.

The full list is on JobCloud tech stack on StackShare.

WHAT DO WE OFFER?

Build AI capabilities, including agentic ones, in a new team, from the first prototype to a commercial feature in production.
Hybrid work in Porto, with on-site attendance up to three days a week when business needs require it.
International collaboration: Work with colleagues across JobCloud’s international offices (Zurich, Geneva, Belgrade or Vienna) including regular visits to Switzerland.
A working atmosphere built on trust, mutual support and team spirit. JobCloud is a kununu Top Company 2026.
A personal training budget for your professional development.

HOW DOES THE HIRING PROCESS FOR THIS ROLE WORK?