[Hiring] Lead Software Engineer, Generative AI @Varicent

Role Description

This role involves building production GenAI features and requires a staff software developer with strong engineering skills and a passion for building scalable AI systems.

• Contribute to the design and delivery of GenAI features
• Collaborate closely with technical leads and senior stakeholders
• Maintain technical quality and scalability across a feature area
• Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability
• Operate independently and drive design decisions within your area
• Help set strong engineering standards through reviews and mentorship

What you’ll do

• Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate
• Build and maintain reliable services and workflows that support AI features in production
• Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible
• Run structured experiments, interpret results, and translate learnings into product improvements
• Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations
• Mentor teammates through design feedback, code reviews, and practical guidance

GenAI expectations

• Solid working knowledge of how modern AI applications are built and evaluated
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI
• Build solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

Qualifications

• 6+ years in software engineering
• 3+ years building and shipping production software in product teams
• Bachelor’s in computer science, Engineering, or related field
• Strong software engineering fundamentals and system design
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly

Nice to Have

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus)
• External contributions (open source, blogs, talks)

How we work

• Balance exploration with delivery: test ideas quickly, then productionize what works
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance
• The team owns systems end-to-end (build, release, reliability)

Requirements

• This role requires employees to work within Eastern Standard Time (EST) business hours
• 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

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