Senior Software Engineer (AI) (GenAI)

TL;DR

Senior Software Engineer (GenAI): Contributing to building and scaling production-grade AI systems that directly impact how customers use and experience products with an accent on delivering GenAI-powered features and collaborating closely with technical leads. Focus on maintaining technical quality, reliability, and scalability across a core product area.

Location: Remote, must work within Eastern Standard Time (EST) business hours.

Company

hirify.global empowers revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential with cutting-edge SaaS solutions.

What you will 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.
• 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.

Requirements

• 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.

Culture & 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.
• Continuous development opportunities.