AI Full Stack Engineer
Team8
Description
About Port
At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum.
We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.
By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.
As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
About the role
We are looking for a highly motivated AI Full stack Engineer with GenAI background in production to join our team and help us shape the future of the Agentic engineering platform (AEP).
What you’ll do:
At Port, we’re a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery across both backend and frontend systems.
You will:
- Implement high scale AI-powered features deeply integrated into our platform
- Design and build production-grade backend systems serving a wide and growing user base
- Build agent-based workflows using frameworks such as AI SDK
- Integrate LLMs into real production systems with attention to reliability, latency, observability, and cost
- Work across frontend (React + TypeScript) and backend (NodeJS, Python, Go) to deliver complete AI-driven user experiences
- Own features end-to-end: design, implementation, testing, deployment, and monitoring
- Help define standards and best practices around AI reliability and evaluation
- Contribute to technical planning, mentor teammates, and help recruit top talent
- Develop retrieval-augmented generation (RAG) pipelines over structured and unstructured data
Our stack includes React + TypeScript on the frontend, and NodeJS + TypeScript, Python, and Golang on the backend, and Vercel’s AI-SDK + AWS Bedrock + Azure OpenAI for GenAI. We use Kafka + Kafka Connect, Redis, PostgreSQL, MongoDB and other modern infrastructure components.
Requirements:
- 5+ years of professional software engineering experience
- Experience in NodeJS + TypeScript
- Strong experience designing and developing complex systems from design to production
- Experience dealing with scale and performance-related challenges
- Experience building or integrating AI/LLM-powered applications in production or meaningful production systems
- Experience building agent workflows and tool integrations
- Ability to think critically about model limitations, hallucinations, latency, and cost tradeoffs
- A collaborative team player with a can-do approach
- Strong written and verbal communication skills in English and Hebrew
Advantages:
- Experience with AWS or other cloud platforms
- Experience with vercel’s AI SDK
- Experience with embeddings, vector databases, or semantic search
- Expierence with AWS Bedrock / Azure Open-AI
- Experience building tool-using agents or workflow engines
- Experience with AI evaluation, observability, and monitoring
- Experience in DevOps-related tools
- Experience with PostgreSQL, Kafka, DocumentDB, OpenSearch, Redis