Staff AI Software Engineer
Cority · United States
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- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Design and build advanced AI agents and systems.
- Own end-to-end AI agent lifecycle management.
- Architect systems with modern AI agent stacks.
- Deploy and optimize AI agents in production.
- Collaborate in a dynamic, fast-paced team.
About the role
Staff AI Software Engineer
Cority is the global enterprise EHS software provider creating industry-leading technology to empower those who transform the way the world works. For over 35 years, Cority has been powered by the spirit of innovation, deep domain expertise, and a commitment to integrity that enables higher levels of operational and sustainable performance with the most comprehensive, human-centered, and secure SaaS platform to help workers and businesses thrive in 100 countries around the world. The company enjoys the industry’s highest levels of client satisfaction and has received many awards for its strong employee culture and outstanding business performance. To learn more, visit www.cority.com.
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.
About the Role
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.
Cority is committed to a diverse and inclusive work environment. Cority is an equal opportunity employer and does not discriminate based on race, nationality, gender, gender identity, sexual orientation, protected veteran status, age, disability or any other legally protected status. For applicants who would like to request for accommodation please send an email to hr@cority.com.
Key skills/competency
- Staff AI Software Engineer
- Agentic Workflows
- LLMs
- LangChain
- Retrieval-Augmented Generation (RAG)
- Microservices
- Python
- .NET Core
- CI/CD
- Software Development Lifecycle
Skills & topics
- Staff AI Software Engineer
- AI
- Machine Learning
- Software Engineering
- Agent Development
- LLM
- LangChain
- RAG
- Python
- Full Stack Development
How to get hired
- Tailor your resume: Highlight your experience building and deploying AI agents, specifically mentioning LangChain, LLMs, and RAG. Quantify your achievements.
- Showcase production experience: Emphasize your track record of shipping at least two AI agents in production within the last 12 months.
- Demonstrate technical depth: Be prepared to discuss your experience with agent frameworks, vector databases, and modern programming languages like Python and .NET Core.
- Understand Cority's mission: Research Cority's EHS software and express how your AI expertise can enhance their client solutions and operational performance.
- Prepare for technical interviews: Expect questions on agent design, lifecycle management, optimization, and architectural decisions.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI agent types is Cority looking for in a Staff AI Software Engineer?
- Cority is seeking expertise in various agent types, including task-orchestration agents, workflow automation agents, retrieval-augmented agents, research/coding agents, multimodal agents, and domain-specific autonomous agents. Experience with conversational agents (voice, text), reasoning agents, scheduling agents, and analytics agents is also highly valued for this Staff AI Software Engineer role.
- What are the essential technical qualifications for the Staff AI Software Engineer position at Cority?
- Key technical qualifications include extensive experience with LLMs (OpenAI, Anthropic, Gemini, Llama, DeepSeek), agent frameworks (LangChain, OpenAI agent SDK), and retrieval systems (RAG, embeddings, vector DBs like Pinecone, Weaviate). Proficiency in .NET Core, Node, Python, and microservices is also crucial. Familiarity with CI/CD and relational databases like Postgres is expected for this Staff AI Software Engineer role.
- How much production experience with AI agents is required for the Staff AI Software Engineer role?
- The role explicitly requires candidates to have built and deployed at least two AI agents in a production environment within the past 12 months. This demonstrates a practical ability to ship and manage AI solutions from development to stable production for the Staff AI Software Engineer position.
- What is Cority's approach to AI development and deployment for its Staff AI Software Engineer role?
- Cority emphasizes a full-stack AI engineering approach, focusing on rapid MVPs to stable production shipping. The Staff AI Software Engineer will own the end-to-end lifecycle, including data ingestion, reasoning, action-taking, evaluation, and monitoring, using modern agent stacks and deploying agents as microservices.
- Does Cority prefer candidates with experience in specific cloud platforms for the Staff AI Software Engineer role?
- While not strictly required, experience with AWS or Azure is listed as a 'Nice to Have' for the Staff AI Software Engineer position. This suggests that familiarity with cloud environments would be beneficial but is not a primary disqualifier.
- What kind of mentorship is expected from a Staff AI Software Engineer at Cority?
- As a Staff AI Software Engineer, you are expected to mentor junior developers. This involves sharing your technical expertise, guiding them through code reviews, and contributing to their growth within the team and Cority's broader software development process.