Software Engineer, Agentic AI
Role details
Job location
Tech stack
Job description
We're hiring a Software Engineer to build agentic AI features into the Displai CMS. You'll ship LLM-powered workflows end to end across our TypeScript/Node backend and React frontend, working alongside senior engineers and the VP of Engineering. This is a build role for someone already fluent with agentic coding tools (Claude Code, Cursor, MCP) who wants to apply that fluency to a production product running at scale. AI is collapsing the distance between engineering and product, and we're looking for someone who can think like a product builder, drive projects independently, and ship at the pace these tools now make possible., * Design and implement LLM-driven workflows: tool use, structured outputs, evaluations, prompt iteration
- Contribute to our MCP server work and help expose more of our platform to AI agents
- Own features end to end: scoping, backend APIs, frontend UI, monitoring, and iteration based on customer use
- Drive projects independently. Make product calls in flight, prototype to validate ideas, and bring partners in when it matters rather than waiting for specs
- Collaborate with product, design, and senior engineers on scoping and trade-offs
- Use AI coding tools as a force multiplier and help raise the bar for how the team uses them
Requirements
Do you have experience in Writing skills?, * 1 to 4 years of professional software engineering experience
- Strong fundamentals in TypeScript/Node and React, including modern React patterns (hooks, state management, component composition)
- Solid backend skills: designing and building REST APIs, writing performant SQL against relational databases (PostgreSQL, MySQL, or similar), and reasoning about schema design and migrations
- Comfortable with HTML/CSS, responsive UI work, and component-driven frontend development
- Working knowledge of Git, code review practices, testing (unit and integration), and CI/CD workflows
- Heavy day-to-day user of agentic coding tools (Claude Code, Cursor, or equivalent). You can talk specifically about what you've built with them and where they fall short
- Product sense and ownership. Agentic AI compresses build cycles, which means engineers need to make more product calls in flight: scoping trade-offs, judging when something is good enough, and driving projects to outcomes without waiting for spec hand-offs. We're looking for engineers who think like product builders, not just implementers
- Comfort working across the stack: backend services, frontend, and the glue between them
- Bias toward shipping. You'd rather have a rough version in production than a perfect one in a branch
- Clear written communication and a low-ego collaboration style, * Shipped agentic or LLM-powered features in a production product
- Built or contributed to MCP servers
- Experience with evals, prompt engineering at scale, or agent orchestration frameworks
- Background in B2B SaaS, multi-tenant systems, or content management platforms
- Experience with NoSQL or caching layers (Redis, DynamoDB, etc.)
- Familiarity with message queues, background jobs, or event-driven architectures
- Exposure to AWS, Docker, and modern observability stacks (logs, metrics, traces)
- Experience with TypeScript on the backend (NestJS, Express, or similar) and ORMs (Prisma, TypeORM, etc.)
- Experience with Go, particularly for performance-sensitive services or backend tooling
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Dental insurance
- Paid holidays, * Full medical and dental plans
- 401(k) plan
- Flexible PTO and paid holidays
- Be a part of a high-performance team
- One of the first 50 people in a SaaS Start-up