Staff AI Software Engineer (AI)

TL;DR

Staff AI Software Engineer (AI): Designing, building, and shipping agentic workflows across multiple domains for a global enterprise EHS software provider with an accent on the end-to-end lifecycle from data ingestion to monitoring. Focus on architecting systems using modern agent stacks, building robust retrieval pipelines, and deploying agents as microservices with proper observability.

Location: Remote from Canada or the United States.

Salary: $110,000–$140,000 a year

Company

hirify.global is a global enterprise EHS software provider creating industry-leading technology to empower those who transform the way the world works, with a comprehensive, human-centered, and secure SaaS platform.

What you will do

• Design, build, and ship agentic workflows across multiple domains (research, coding, conversational, reasoning, scheduling, analytics, workflow automation agents).
• Own the end-to-end lifecycle of agents from data ingestion to monitoring, including evaluation and action taking.
• Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
• Architect systems using modern agent stacks (LangChain, LlamaIndex, OpenAI Assistants, Model Context Protocol, custom orchestration).
• Develop and enhance base hirify.global software and new software to meet client needs, driving technical and architectural decisions.
• Mentor junior developers and review completed software designs and code.

Requirements

• University degree in computer science or a related program is required.
• 8+ years of experience as a developer, with 2+ years as an AI developer are essential.
• Proven experience building and deploying at least two AI agents in production in the past 12 months.
• Strong understanding of the software development process and lifecycle, with Agile & Scrum methodology experience.
• Experience with LLMs (OpenAI, Anthropic, Gemini, Llama, DeepSeek) and Agent frameworks (LangChain, OpenAI agent sdk, Microsoft Agent Framework).
• Proficiency with Retrieval (RAG), embeddings, vector DBs (Pinecone, Weaviate, Chroma, PGVector), and structured function-calling workflows.
• Experience with .NET Core, Node, Python, .Net Framework, Web APIs, Microservices, and relational databases like Postgres/SQL Server.
• Familiarity with Message Queues (SQS, Google Queues, RabbitMQ, Kafka) and CI/CD practices.

Nice to have

• Experience with NoSQL databases like MongoDB.
• Experience with AWS or Azure cloud platforms.
• Familiarity with Multi-tenancy and ML concepts.
• Experience with Docker.

Culture & Benefits

• Work in a values-driven, performance-oriented, dynamic, and growth-focused culture.
• Support for a remote working environment with a one-time home office allowance and subsidized monthly internet allowance.
• Access to competitive health benefits, dental plans, and retirement savings plans (RRSP, 401K plan).
• Annual fitness allowance and mental health support through Calm Premium and Talkspace.
• Opportunities for continuous learning via Udemy, internal training programs, annual training allowance, and certifications.
• Commitment to a diverse and inclusive work environment with equal opportunity employment.