Cority

Cority

Cority provides advanced EHS software solutions that integrate compliance, safety, and ESG performance, utilizing applied AI to enhance decision-making and drive sustainable performance in environmental, health, and safety management.

Chemicals
251-1K
Founded 1985

Description

  • Design, build, and ship agentic workflows across research, coding, conversational, reasoning, scheduling, analytics, and automation use cases.
  • Own the end-to-end agent lifecycle from data ingestion and reasoning through action taking, evaluation, and monitoring.
  • Build multi-step agents with autonomous planning, context tracking, memory, tool use, and API orchestration.
  • Architect agent systems using modern frameworks and orchestration approaches such as LangChain, LlamaIndex, OpenAI Assistants, MCP, and custom state machines.
  • Build retrieval pipelines, embeddings, caching layers, and knowledge grounding systems for RAG-based applications.
  • Deploy agents as microservices with observability, guardrails, fallbacks, and systematic evaluation.
  • Optimize inference cost, latency, accuracy, and task completion rates.
  • Create reusable frameworks and libraries to speed up future agent development.
  • Design and develop new software and enhance existing software for client systems and Cority’s base platform.
  • Collaborate with Product Owners, participate in code reviews, mentor junior developers, and support automation for testing, integration, and deployment.

Requirements

  • University degree in computer science or a related program.
  • 8+ years of experience as a developer.
  • 2+ years of experience as an AI developer.
  • Candidates must have built and deployed at least two AI agents in production in the past 12 months.
  • Strong understanding of the software development process and lifecycle.
  • Experience working in Agile and Scrum environments.
  • Experience with LLMs such as OpenAI, Anthropic, Gemini, Llama, or DeepSeek.
  • Experience with agent frameworks such as LangChain, OpenAI Agent SDK, Microsoft Agent Framework, custom orchestration, or state machines.
  • Experience with retrieval systems, RAG, embeddings, and vector databases such as Pinecone, Weaviate, Chroma, or PGVector.
  • Experience with MCP servers or integrating MCP tools.
  • Experience with structured function-calling workflows, JSON schema, tool plans, or agent graphs.
  • Experience with .NET Core, Node, Python, .NET Framework, Entity Framework/Dapper, Web APIs, and microservices.
  • Experience building database applications with relational databases such as Postgres or SQL Server.
  • Experience with message queues such as SQS, Google Queues, RabbitMQ, or Kafka.
  • Experience with CI and CD.
  • Nice to have experience with NoSQL databases like MongoDB.
  • Nice to have experience with AWS or Azure.
  • Nice to have experience with multi-tenancy.
  • Nice to have experience with machine learning.
  • Nice to have experience with Docker.
  • Strong written and verbal communication skills.
  • Experience working with remote teams.
  • Previous experience in occupational health, environment, ergonomics, or safety is an asset.

Benefits

  • Remote working environment with a one-time home office allowance and subsidized monthly internet allowance.
  • Competitive health benefits, dental plans, and retirement savings plan options such as RRSP and 401(k).
  • Annual fitness allowance.
  • Mental health support through Calm Premium and access to Talkspace.
  • Access to Udemy, internal training programs, annual training allowance, and certifications if applicable.
  • Participation in High Talent Programs.
  • Values-driven, performance-oriented, dynamic, and growth-focused culture.

Interested in this position?

Apply directly on the company website

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