Full Stack Agentic AI Engineer

1. Build and orchestrate AI agents end?to?end: design tasks, tools, memory, planning, and guardrails; implement agent workflows using modern agentic frameworks (e.g., LangChain, Agents SDKs).
2. Clear communication and cross?functional collaboration with Product, QA, Support, Design and our Customers to deliver outcomes; communicate technical decisions and trade?offs clearly to both technical and non?technical stakeholders.
3. Develop with AI coding assistants (e.g., Copilot?style tools) to accelerate delivery while ensuring output meets enterprise design, coding, security, reliability, performance, and compliance standards. Ensure you do not over-engineer solutions. Manage coding agents.
4. Eval first development (offline/online) focused on Agentic AI application quality: define and build metrics and KPIs that showcase agent performance and business impact. Contribute to existing eval framework or standardizing evals across AI products.
5. Architect for scale across the stack (MCP Servers, API design, state/queueing, caching, streaming, observability, multi?tenant isolation, cost controls)
6. Translate product requirements into engineering designs (specs, sequence diagrams, API contracts), drive design and architecture board reviews.
7. Integrate agents with existing services and new microservices (front?end + back?end), delivering highly scalable and resilient solutions
8. Support in release and incident management and monitoring.
9. Champion engineering excellence: code reviews, testing, accessibility considerations, performance optimization, and secure coding practices.

1. Full?stack development: Expertise in building scalable back?end services using TypeScript/JavaScript/Python with strong API design and data modeling and developing modern front?end applications using React (hooks, context, state management), including UI performance optimizations and accessibility best practices.
2. Eval / Domain / Behavior Driven Development (EDD/DDD/BDD) with focus on end user experience across all channels: UI, Chat, Messaging, Voice, Email, Mobile, etc.
3. Hands?on experience in building agents using Agentic AI frameworks and Agents SDKs including tool integration and persistence.
4. Web technologies: Experience with real-time communication using WebRTC and WebSockets, including managing streaming connections and ensuring reliable data flow.
5. Expertise in cloud platforms (AWS/GCP/Azure) and experience with containerization (Docker), orchestration (Kubernetes), CI/CD practices and infrastructure?as?code (e.g., Pulumi/CDK/Terraform).
6. Strong analytical and debugging skills (logs, traces, performance tuning across front-end and back-end) paired with great attention to detail.
7. Highly skilled at designing structured prompts and prompt engineering techniques, tool?augmented flows, and safety guardrails for coding assistants and agents.
8. Exceptional ability to communicate complex technical concepts, drive consensus among both technical and non-technical stakeholders.
9. Expert use of coding assistants to build enterprise?grade, scalable software-balancing speed with quality and standards.
10. Agentic products shipped to production: prior end?to?end ownership from prototype to production (observability, SLOs, incident handling).
11. Experience building online and offline evals for Agentic systems.

Preferred technology: TypeScript, Python, React, React Flow, OpenAI Agents SDK, MCP Server/Tools, GitHub Copilot, Anthropic Claude, OpenAI Codex, Serverless, Evals, Pulumi, Playwright