AI Software Engineer

About Cority

Cority helps customers see and prevent risks across their operations in real time. Our EHS platform converges people, data, and AI agents to provide a clear view of information people can trust, automate workflows that make people more impactful, and deliver personalized insights and expertise to improve decision‑making. While most solutions respond to risks one at a time, Cority helps prevent them across environmental management, employee health, safety, quality, and sustainability.

For 40 years, Cority has been the market leader in EHS, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide. Cority has received many awards for its strong employee culture and outstanding business performance.

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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.

• Design, build, and ship agentic workflows across multiple domains (research agents, coding assistants, conversational agents, 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 (Lang Chain, Llama Index, 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.

• 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.

• Experience with LLMs:
  OpenAI, Anthropic, Gemini, Llama, Deep Seek.
• Experience with Agent frameworks:
  Lang Chain, 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…