At Varicent, we’re driven by the belief that great people power great companies. As our Senior Software Developer, GenAI, you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.

You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.

Overview
• Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.

What You’ll Do:
• Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
• Write production-ready code and lightweight prototypes to validate ideas quickly.
• Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
• Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
• Document systems and workflows so others can run, maintain, and extend what you build.

GenAI Competencies You’ll Practice:
• Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
• Prepare and maintain data and test cases used to measure output quality.
• Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs.
• Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
• Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
• Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.

How We Work:
• We balance exploration with delivery — test ideas quickly, then productionize what works.
• “Done” means quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
• The team owns systems end-to-end, including build, release, and operational reliability.

What You Bring:
• 4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
• 4+ years of hands-on technical experience writing production-quality code.
• Strong software engineering fundamentals, including system design and scalable architecture.
• Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability.
• An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces.
• Strong interest in learning and applying GenAI technologies in practical, production environments.

Nice to Have:
• Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines.
• Familiarity with LLMOps practices such as experiment tracking, version control for prompts or models, and cost or latency optimization.
• Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus.
• Contributions to open source, technical blogs, or conference talks.

Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

 Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Software Development Engineer in Test (SDET)

About the Role

Trivelta powers sportsbook and casino platforms used by operators around the world. As we continue to scale our global offering, we’re looking for a hands-on Software Development Engineer in Test (SDET) to help us build quality into our product from day one. As an early member of our engineering team, you’ll play a key role in shaping our testing strategy, tooling, and quality culture as we scale.

This role is ideal for someone who thrives in fast-moving environments, enjoys wearing multiple hats, and wants real ownership over how quality is engineered—not just validated.

Responsibilities:

• Build and evolve our automated testing strategy from the ground up
• Design, develop, and maintain automated tests for APIs, backend services, and front-end applications
• Partner closely with product managers and engineers to define requirements, edge cases, and acceptance criteria early
• Embed automated testing into our CI/CD pipeline to support rapid, confident releases
• Balance automation with lightweight manual testing when needed to keep velocity high
• Identify quality risks early and propose pragmatic solutions—not bureaucracy
• Help establish best practices for testability, reliability, and observability
• Influence product and engineering decisions with a strong quality mindset

Qualifications:

• 3+ years of experience in SDET, QA engineering, or software engineering with a strong testing focus
• Strong coding skills in at least one modern language (e.g., Python, JavaScript/TypeScript, Java, or similar)
• Hands-on experience with modern test automation tools (e.g., Playwright, Cypress, Selenium, REST/API testing frameworks)
• Experience testing APIs, backend systems, and distributed services
• Familiarity with CI/CD pipelines and version control (Git)
• Comfort working with ambiguity and evolving requirements
• A proactive, ownership-driven mindset—you see problems and fix them

Nice to Have:

• Startup or early-stage company experience
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Exposure to performance or load testing
• Experience working with microservices, event-driven systems, or data-heavy applications
• Ability to influence quality culture beyond just test execution

Why Join Us:

• High impact: your work directly shapes product quality and customer trust
• Ownership: you’ll define how testing works here, not inherit legacy systems
• Speed: small teams, fast decisions, and minimal process overhead
• Growth: real opportunity to expand your scope as the company scales
• Competitive compensation