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SugarAI

Builds AI-guided CRM software for business sales teams

Junior Software Engineer

Software EngineeringUpdated on Nov 13
Full-timeCraiova, RomaniaRON4.9k - RON5.3k /moHybrid

About the Job

Requirements

  • Demonstrated familiarity with agentic coding tools such as Claude Code, Cursor, Copilot, or equivalents; early hands-on experience is required, with deeper fluency expected to develop within the first few months.
  • Familiarity with BDD/SDD or spec-driven development concepts, and willingness to build executable specification skills as the primary development practice immediately.
  • 0–2 years of software development experience; new graduates with relevant project or internship work are welcome.
  • Working knowledge of at least one object-oriented or modern programming language.
  • Familiarity with RESTful APIs and how they work.
  • Basic knowledge of SQL or another data store.
  • Some experience writing automated tests and understanding of unit testing concepts.
  • Exposure to Agile development practices and version control workflows using Git.
  • Clear written communication and ability to write structured specifications and surface blockers concisely in an asynchronous-first team environment.

Responsibilities

  • Learn to work from executable specifications by writing clear SDD/BDD specifications and acceptance criteria as the primary input for AI-assisted code generation, with guidance from senior engineers.
  • Use agentic coding tools such as Claude Code, Cursor, Copilot, or equivalents across the software development lifecycle, developing fluency from specification through implementation, test generation, and code review.
  • Apply critical judgment to AI-generated code before merge by assessing correctness, edge cases, and alignment with the specification; review is a quality gate even at L1.
  • Participate in the team's agentic development practices and adopt specification standards, attestation norms, and responsible AI tool use.
  • Implement well-scoped tasks and features within a defined feature area, delivering reliable, tested code that meets the team's standards.
  • Ensure agentic code is clean and follows standards that make it understandable and extendable by agentic systems and teammates.
  • Take ownership of assigned work end-to-end within scope, from understanding the requirement to delivering working, production-ready code.
  • Review outputs, including AI-generated code and agentic attestations, carefully and learn to catch what automation misses.
  • Write unit and integration tests that verify real behavior, and apply critical review to test quality as well as production code.
  • Seek and apply feedback from code review to grow understanding of the team's quality bar.
  • Work closely with the engineering team to understand requirements and ask questions before implementation.
  • Communicate in writing through specifications, code reviews, and asynchronous updates so work is understandable and blockers are visible early.
  • Participate in Agile and team ceremonies, including Sprint Review and team demos, and contribute to a collaborative team culture.

Desired Qualifications

  • Hands-on coursework, projects, or internship experience in enterprise or SaaS software development.
  • Exposure to cloud platforms such as AWS or equivalent, or containerization tooling.
  • Interest in AI/ML features and how they integrate into production software products.
  • Background or academic focus in B2B software, data systems, or revenue technology.

About the Company

SugarAI

Builds AI-guided CRM software for business sales teams

SugarAI builds customer relationship management software for business-to-business sales teams, particularly manufacturers, wholesalers and distributors that depend on repeat orders from existing accounts. Its software analyzes customer and prospect data to show sellers which accounts and deals hold the most upside and to flag early signs that revenue is at risk. Alongside its flagship sales product, Sugar Sell, the company sells tools for marketing automation and customer service. Customers pay per user per month on annual plans and can implement the system with SugarAI directly or through partner firms. The company was founded in 2004 and is headquartered in Denver, Colorado.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Denver, CO
Founded
2004

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