Cority

Staff AI Software Engineer

Job Description

Cority is looking for a Staff AI Software Engineer to be a part of our existing team. Our organization is a dynamic, fast-paced, highly collaborative environment. We are looking for a passionate team player who is committed to the success of the collective group. The successful candidate will be able to leverage their excellent technical capabilities and drive while delivering immediate value and influencing our long-term roadmap. This is a fantastic opportunity to join a highly skilled and dynamic team. We take the success of our customers incredibly seriously and our team is a critical part of this success.

Reporting to the Development Manager, the Staff AI Software Engineer is primarily responsible for designing and enhancing base Cority software, as well as working with Product Development to develop software to meet client needs. We are looking for an experienced AI Engineer who specializes in building agents and agentic systems from task-orchestration agents to workflow automation agents, retrieval-augmented agents, research/coding agents, multimodal agents, and domain-specific autonomous agents. This is a full-stack AI engineering role, ideal for someone who loves shipping: rapid MVPs → stable production, high ownership, and fast problem-solving. Candidates must have built and deployed at least two AI agents in production in the past 12 months


Responsibilities:
  •  Design, build, and ship agentic workflows across multiple domains (research agents, coding assistants, conversational agents (voice, texts, etc), reasoning agents, scheduling agents, analytics agents, workflow automation bots, etc.).
  • Own the end-to-end lifecycle: data ingestion → reasoning → action taking → evaluation → monitoring.
  • 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 (MCP), custom orchestration).
  • Build robust retrieval pipelines (RAG), vector embeddings, caching layers, and knowledge grounding systems.
  • Deploy agents as microservices with proper observability, evals, guardrails and fallbacks.
  • Optimize inference cost, latency, accuracy, and task-completion rates.
  • Run systematic evaluations: function calling accuracy, groundedness, hallucinations, long context stability.
  • Create reusable frameworks and libraries to accelerate subsequent agent builds.
  • Comfortable building MVPs in days and scaling them to stable production within weeks/months
  • Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs
  • Design and develop new software and enhance existing software for clients’ systems, and for Cority’s base software.
  • Communicate directly with Product Owners to ensure that requirements and specifications are understood.
  • Develop high-quality software and is an advocate of automation frameworks for testing, integration, and deployment.
  • Review completed software designs or prototypes with team and participates in code reviews
  • Mentor junior developers.
  • Open to learning and working with modern technologies as required in the project. 

    • Qualifications:
  • Must have a university degree in computer science or a related program.
  • 8+ years of experience as a developer.
  • 2+ years of experience as an AI developer.
  • Strong understanding of software development process & lifecycle.
  • Experience with Agile & Scrum methodology.

    • Technical Qualifications:
  • Experience with LLMs: OpenAI, Anthropic, Gemini, Llama, DeepSeek
  • Experience with Agent frameworks: LangChain, OpenAI agent sdk, Microsoft Agent Framework, custom orchestration, state machines
  • Experience with Retrieval (RAG), embeddings, vector DBs (Pinecone, Weaviate, Chroma, PGVector)
  • Experience with MCP servers or integrating MCP tools.
  • Experience with structured function-calling workflows (JSON schema, tool plans, agent graphs)
  • Experience with .NET Core, Node, Python, .Net Framework, Entity Framework/Dapper, Web APIs and Microservices.
  • Experience developing of database applications using relational database systems such as Postgres, SQL Server.
  • Experience with Message Queues like SQS, Google Queues, RabbitMQ, Kafka. • Experience with CI and CD.

    • Nice to Have:
  • Experience with NoSQL databases like MongoDB.
  • Experience with AWS or Azure.
  • Experience with Multi-tenancy.
  • Experience with ML.
  • Experience with Docker. 

    • Other Skills:
  • Proven passion for technology and can navigate your way across complex and rapidly changing landscapes by staying on top of the latest trends.
  • A self-starter who actively challenges the status-quo, is curious and not afraid to ask “why” and “what”.
  • Fantastic communications (written and oral), who thrives on sharing and gaining knowledge.
  • Experience working with remote teams.
  • Previous experience in the field of occupational health, environment, ergonomics or safety is an asset.

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