Senior Software Engineer (Generative AI)

TL;DR

Senior Software Engineer (Generative AI): Building and maintaining reliable services and workflows that support AI features in production with an accent on defining quality metrics, automating processes, and iterating quickly. Focus on designing scalable solutions, driving design decisions, and mentoring teammates in a fast-paced environment.

Location: Fully remote (global, requires alignment with Eastern Standard Time (EST) business hours)

Company

hirify.global is transforming the Sales Performance Management (SPM) market by redefining how organizations achieve revenue success through cutting-edge SaaS solutions.

What you will do

• Own delivery for significant features or systems from requirements to execution and iteration.
• Build and maintain reliable services and workflows supporting AI features in production.
• Define and automate quality measurements (metrics, test strategy, evaluation) for your area.
• Run structured experiments, interpret results, and translate learnings into product improvements.
• Improve operational readiness including deployment automation, monitoring, incident follow-up, and performance/cost optimizations.
• Mentor teammates through design feedback, code reviews, and practical guidance.

Requirements

• 6+ years in software engineering, with 3+ years 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, APIs/services, and data pipelines.
• Cloud experience, CI/CD, automated testing, and observability.
• Solid working knowledge of modern AI application building and evaluation, with strong learning speed.
• Build solutions that are safe and compliant by design (privacy, data handling, safeguards).
• Must align working hours with Eastern Standard Time (EST) business hours.

Nice to have

• Experience with GenAI/LLM concepts: prompt engineering, RAG, function/tool-calling, evaluation pipelines, fine-tuning, embeddings/vector search.
• Familiarity with 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).

Culture & Benefits

• Market leading compensation package and wellness programs.
• Remote work flexibility with a global connected culture (hubs in Romania, UK, US, Canada).
• Work with latest tools and technologies in a fast-paced, innovative, and multicultural environment.
• Comprehensive employee insurance coverage: Medical, Dental, Vision, Life Insurance.
• Annual time off in accordance with legislative requirements.
• Continuous development opportunities.