AI Frontier · AI agents
Currently tracking 69 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Sierra has 78 active AI-related job listings, with a strong emphasis on roles within the agents stage, which accounts for 92% of their openings. The top functions for these roles are evenly split between Product and Engineering. The majority of these positions are located in the United States and the United Kingdom. Frequent technical tags include agent orchestration, evals, and RAG, suggesting a focus on agent development and deployment. In the last 30 days, Sierra posted 5 new AI roles, a decrease of 69% compared to the previous 30-day period.
Sierra currently has 76 active AI-related roles in our index. The most common open titles are: Software Engineer, Agent (8), Strategist, Agent Development (4), Strategist, Agent Development (Spanish speaking) (3), Agent Engineer, TLM (2), Agent Experience Designer, Voice (Multilingual) (2). Most positions are in Engineering and Product.
Sierra's active AI hiring is concentrated in: agents (92%), application (4%), serving infrastructure (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Sierra is hiring AI talent in: United States (38 roles), United Kingdom (23 roles), Singapore (6 roles), Spain (2 roles).
Job postings at Sierra most frequently mention: Product Management, Agentic Systems, Machine Learning, Software Engineering, Production-Grade Code.
In the past 30 days, Sierra has posted 5 new AI-related roles. That is a -37% change versus the prior 30 days (8 → 5).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Agent (Thai Speaking) Software Engineer role focused on building and shipping production-grade AI agents for enterprise clients. The role involves owning the Agent Development Life Cycle (ADLC), from pilot to deployment and iteration, and partnering with customers to understand their needs and build transformative AI solutions. The engineer will also contribute to the evolution of Sierra's core platform based on customer feedback and needs. | Agent | 9 |
| Software Engineer, Agent (Cantonese Speaking) Software Engineer focused on building and shipping production-grade AI agents for enterprise clients, owning the Agent Development Life Cycle (ADLC) from pilot to deployment and iteration. This role involves partnering with large enterprises and startups to solve business challenges with AI agents, and contributing to the evolution of the core platform. | Agent |
| 8 |
| Software Engineer, Agent (Korean Speaking) Software Engineer, Agent role focused on designing, building, and shipping production-grade AI agents for enterprise clients. The role involves owning the Agent Development Life Cycle (ADLC), partnering with customers, and contributing to the platform's evolution. Emphasis on building scalable, reliable, and revenue-driving AI agents. | Agent | 8 |
| Software Engineer, Agent Software Engineer, Agent role focused on designing, building, and shipping production-grade AI agents for enterprise customers. The role involves owning the Agent Development Life Cycle (ADLC), partnering with clients to solve business challenges, and contributing to the evolution of the AI platform. Emphasis on building scalable, reliable, and revenue-driving AI agents. | Agent | 8 |
| Strategist, Agent Development (Cantonese Speaking) This role focuses on building and shipping AI agents for customer conversations, combining product strategy, conversational design, and customer insight. It involves partnering with Product Managers and Engineers to scope, build, and ship AI agents that handle thousands of customer conversations daily, coordinating across technical and non-technical stakeholders throughout the agent development lifecycle. | Agent | 7 |
| Strategist, Agent Development Sierra is seeking a Strategist, Agent Development to partner with Product Managers and Engineers to scope, build, and ship AI agents for customer conversations. The role involves combining product strategy, conversational design, and customer insight to bring high-quality agents to life, acting as a trusted advisor to customers and driving AI strategies. Responsibilities include building and refining conversational AI agents, driving execution of agent development projects, coordinating stakeholders, and contributing data-driven insights. | Agent | 7 |