Use agentic coding tools (Claude Code, Cursor, Copilot, or equivalents) as standard equipment across the full SDLC, from spec to implementation to test generation to code review
Apply critical judgment to AI-generated code and agentic attestations before merge — assess correctness, edge cases, security implications, and alignment with the spec; your review is a real gate, not a formality
Contribute to the team's agentic development practices: spec standards, attestation norms, and how the team uses AI tools responsibly
Feature Delivery
Design, implement, and ship features and components that are reliable, maintainable, and built to perform in high-volume, high-availability SaaS environments
Ensure agentic code is clean, well-tested, and follows the standards that make it easy to understand and extend by both agentic systems and your teammates
Own your feature areas end-to-end, from understanding the requirement to production delivery, including identifying and resolving defects before they reach customers
Code Quality & Review
Review outputs, including AI-generated code and agentic attestations, with the care and rigor the team depends on; catch what automation misses
Orchestrate unit and integration test development that verifies real behavior, not just execution paths; apply the same critical eye to test quality as to production code
Contribute to the team's technical standards and raise the bar on engineering operations excellence and quality across all facets of our AI SDLC
Collaboration & Systems Thinking
Work closely with product managers, designers, and QA engineers to understand requirements and build the right thing, not just the specified thing
Think beyond your immediate feature: understand the systems your code interacts with, the data it produces, and the downstream effects of your design decisions
Communicate clearly in writing — in specs, in code reviews, in async updates — to keep cross-functional and globally distributed teams aligned
Participate in agile and team ceremonies, including Sprint Review, Program Reviews, and other technical presentations
What Success Looks Like
You can point to features you shipped from spec through production using agentic workflows and speak concretely, with data, to how that changed your delivery speed and code quality
The work you produce is easy for teammates to review, extend, and maintain — your specs are clear, your tests are meaningful, and your PRs tell a coherent story
AI-generated code you've attested has not introduced regressions or security issues that went undetected past your review; your attestation means something
Your teammates describe you as someone who raises the quality bar through reviews, not just through your own output
You understand the systems you work within well enough to anticipate where complexity will compound — and you surface that early
Required Qualifications
Personal fluency with agentic coding tools (Claude Code, Cursor, Copilot, or equivalents) — you use these in your daily work and in real delivery scenarios, not as an experiment
Hands-on experience with BDD/SDD frameworks and working from executable specifications as the primary input to development — this is how we work, not a practice you're learning on the job
2–5 years of experience developing enterprise or SaaS software in production environments
Proficiency in at least one object-oriented or modern SaaS language; comfort picking up new languages and frameworks as the work demands
Experience with RESTful API design and consumption
Working knowledge of SQL and NoSQL data stores
Experience producing and maintaining automated test suites (unit, integration, or end-to-end)
Experience working in Agile delivery environments with CI/CD pipelines
Strong written communication skills; able to write clear specs, meaningful code review feedback, and async updates for a global team
Preferred Qualifications
Experience with cloud platforms (AWS or equivalent) and microservices architectures
Familiarity with containerization, infrastructure-as-code, or observability tooling
Experience developing or integrating with AI/ML features in a production SaaS product
Background in B2B SaaS, CRM, or revenue technology
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a fluid and collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is close to what we’re looking for. We also know that diversity of background and thought makes for better problem solving and more creative thinking, which is why we're dedicated to adding new perspectives to the team.
We use artificial intelligence (AI) tools to support our recruiting process, including scheduling, candidate search, prioritization. AI does not make hiring decisions or automatically reject candidates; those decisions are made by people at SugarAI.
Benefits and Perks
Beyond a stellar work environment, friendly people, and inspiring work, we have some sweet benefits and perks:
Private medical insurance including basic check-up, hospitalization, and vital care
Vision exam and discounted glasses every year
Meal tickets 45 RON/working day
Gift tickets 300 RON/ Easter & Christmas
Cultural tickets 200 RON/month
Health & Wellness reimbursement
Football Team (only in Craiova)
Peer to peer recognition program
Professional development reimbursement program
Educational Resources - Career & Personal Development Program
Travel discounts
Birthday day off
Extra days off when public holidays fall on weekend days
Annual Teambuilding
We are a merit-based company with many opportunities to learn, excel and grow your career!
#LI-Hybrid
