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Location
Hybrid (Craiova, Romania)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 6, 2026. SugarAI scores A on the Alion truth index.

Overview
Company
Impact
Profile match
SugarAI (formerly SugarCRM) helps sellers sell by spotting issues and opportunities hiding in CRM and ERP data, then presenting them as actionable next steps.

Where You Fit In:

SugarAI ships AI-powered selling and sales intelligence products in a market that moves faster every day. We are focused on quality, functionality, and speed to delivery, and the engineers who thrive here don't treat AI tools as a productivity add-on they've fundamentally changed how they work, using agentic development workflows to go from specification to production-ready code faster than they could before, without sacrificing correctness or quality.

This is not a role for someone who favors traditional software development, or is curious about AI-assisted development and plans to explore it. It's a role for someone who already works this way who writes clear, machine-readable specifications that feed the agentic development system, uses agentic development tools as standard equipment, and applies genuine critical judgment to what these tools produce before it ships. You'll build systems and features that power real customer outcomes in a B2B SaaS platform at scale, and you'll do it inside a delivery model where human judgment is the differentiating input, not the bottleneck.

If you want to work on meaningful software with teammates who hold the bar high on both speed and craft, this role is for you.

This role operates on a hybrid model, with a mix of remote work and in-office collaboration at our Craiova location, specifically, working in-office a minimum of 3 days per week.

Disclaimer: When applying to this job posting, you are submitting your application for consideration of a role which may or may not actually exist, or be available now or in the future. Application submission is agreeing to be added to our Applicant Tracking System database, so we have the potential to surface your profile and reach out to you in the future, for opportunities which appear to be aligned to your background, experience or network.

To be considered for a specific job opening, please check out our Careers Page and apply to an active job posting.

Impact You Will Make in the Role (Key Responsibilities):

    Agentic Development Systems

    • Work from executable specifications - write clear SDD/BDD specs and acceptance criteria as the primary input for AI-assisted code generation, and keep them current as implementation evolves

    • 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 behaviour, 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 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 updatesto keep cross-functional and globally distributed teams aligned

    • Participate in agile and team ceremonies, including Sprint Review, Program Reviews, and other technical presentations

What You Will Bring (Qualifications/Experience):

    • 2-5 years of experience developing enterprise or SaaS software in production environments

    • Personal fluency with agentic coding tools (Claude Code, Cursor, Copilot, or equivalents) you use these in your daily work and 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

    • 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:

    • 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

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